Data Science Course in Pune

Job Oriented Training

  • Take advantage of a curriculum created by IIT specifically for data science innovation and industry relevance.
  • Get access to prestigious data science companies and receive 100% placement assistance.
  • Develop soft skills, interview techniques, and resume building to succeed in your career.
  • Gain knowledge from seasoned business experts with extensive domain knowledge and practical project experience.
4.5/5
4.5/5
4.1/5
5/5

Course Duration

5 Months

Live Project

2 Project

Certification

Guaranteed

Training Format

Live Online /Self-Paced/Classroom

Achievement

Trainings Conducted
0 +
Batches Completed
0 +
Companies Tie-ups
0 +
Students Placed
0 +
Corporate Trainings
0 +

Nothing stops you from learning

We provide EMI facility for you 

EMI Plan Registration Percent
EMI
With
0% Interest
On Registration
10%
1st installment – 1st month of joining
70%
2nd installment – 2nd month
20%

Key Features

Course Duration : 5 months

Project Based Learning

Certification & Job Assistance

Real-Time Projects : 2

EMI Option Available

24 x 7 Support

Free Career Counselling

Overview - Data Science Course in Pune

Data Science Course Training in Pune

3RI Technologies provides a top-tier Data Science course in Pune that is one of the most comprehensive programs available. It covers the entire Data Science lifecycle and encompasses various stages, including Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building predictive models, Data Visualization, and deploying customer-focused solutions.

 

The curriculum extensively includes essential skills and tools. The training comprehensively covers Statistical Analysis, Text Mining, Regression Modeling, Hypothesis Testing, Predictive Analytics, Machine learning, Deep Learning, Neural Networks, Natural Language Processing, and Predictive Modeling. Additionally, it includes hands-on experience with popular tools like R Studio, Tableau, Spark, and Hadoop, and programming languages such as Python and R. are thoroughly covered in the training.

 

Recognized as a leading institute for Data Science training in Pune, 3RI Technologies offers a comprehensive program that integrates training with placement assistance. Over 400+ students have been successfully placed in reputed multinational companies such as E&Y, Panasonic, Accenture, VMware, Infosys, and more. The institute is well-regarded for its industry-oriented approach and commitment to providing the best Data Science training.

 

At its essence, Data Science involves leveraging techniques such as data mining, machine learning, predictive modeling, and data visualization to identify patterns, trends, and correlations that fuel business strategies and innovation. It empowers organizations to make informed, data-driven decisions, enhance operations, deliver exceptional customer experiences, and maintain a competitive advantage.

 

Are you looking for reasonably priced data science course fees in Pune? For practical instruction and professional development, look into data science classes near me and sign up for one of the data scientist courses in Pune.

 

According to Harward Business Review, Data Scientist is the  Job of the 21st Century.

According to Forbes, IBM Predicts Demand For Data Scientists Will Soar 28% By 2020

 

GET FRONTLINE DATA SCIENCE TRAINING IN PUNE AT 3RI TECHNOLOGIES

Data Science is a trending niche, for it promises notable mileages for the business economy! It is rather ironic that data which was considered a burden to manage and store only about a few decades ago is now viewed as a resource; courtesy of course to data scientists. They have brought about a paradigmatic change through their skills which allow them to derive the value from raw data. It is important to mention that ‘Raw Data’ is clueless to most laymen, including the high echelons in the business management; but when processed through the Data Science Tools, it renders value which is precious and immense for the decision-makers and salesmen. They are all riding on the Professionalism of the Data Scientists and this generates the demand of the latter! 3RI Technologies is the leading institution offering Data Science Classes in Pune and fresh graduates as well as Working Professional can enroll for it.

What is Data Science and What Does the Course Offer?

Data Science is a cutting-edge multidisciplinary discipline that mixes algorithms, sophisticated tools, and machine learning approaches to extract valuable insights from enormous information by finding unique patterns and trends. By applying strategies and approaches to process, analyze, interpret, and derive meaningful conclusions from raw data, Data Science aids decision-making processes across numerous sectors.

With Data Science training in Pune at 3RI Technologies, you’ll gain the skills needed to help businesses gain a competitive edge, optimize operations, and Promote innovation. Our program provides you with advanced tools and techniques to confidently navigate the complexities of data analysis and manipulation.

What Can You Learn About in the 3RI Data Science Program?

  • Data Science Methodologies: Understand foundational principles and best practices in Data Science to solve real-world challenges.
  • Hands-On Projects: Develop practical expertise by working on real-world projects designed to strengthen your problem-solving skills.
  • Data Science Tools: Master technologies like Python, R, Tableau, and more, widely used in the business for data analysis and visualization
  • Coding Proficiency: Strengthen your coding skills to handle and manipulate datasets effectively.
  • AI/ML and Data Mining: To get useful insights, and investigate cutting-edge ideas in data mining, machine learning, and artificial intelligence.
  • Data Sets: Gain a thorough understanding of data analysis and interpretation by working with a range of datasets.

Graduates of our Data Science certification program in Pune will graduate with a thorough understanding of Data Science tools, techniques, and concepts. Our program ensures you are prepared to excel in diverse roles, such as:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Analyst

Our Data Science courses in Pune offer doors to fascinating employment prospects across industries including banking, healthcare, e-commerce, marketing, and more, where Data Science knowledge is highly sought after.

Data Science Course Key Features
  • IIT Collaboration: Advanced learning curricula created in consultation with IIT specialists.
  • 100% Placement Assistance: We guarantee that you can secure your dream job.
  • Hands-on Projects: Case studies from the real world to hone practical abilities.
  • Industry-aligned Curriculum: Acquire knowledge of machine learning, artificial intelligence, R, and Python.
  • Expert Trainers: Gain knowledge from seasoned experts in data science.
  • Flexible learning options include weekend, weekday, and self-paced schedules.
  • Placement Preparation: Dedicated sessions for resume creation and interview training.
Who Can Do This Data Science Program?
CategoryEligibility/Benefits
Fresh GraduatesPerfect for people with a bachelor’s degree who want to start a data science career without any prior experience.
Working ProfessionalsIdeal for engineers, analysts, or IT workers looking to advance their careers and move into data-driven positions like data scientist or analyst.
ManagersAdvantageous for mid-level managers looking to increase operational effectiveness in their companies and incorporate data science into decision-making.
EntrepreneursAllows entrepreneurs to successfully scale their businesses by using data for customer insights, market analysis, and strategic planning.
Career SwitchersIdeal for people with non-IT backgrounds who want to switch careers to data science, such as those in marketing, finance, or healthcare.
Tech EnthusiastsThis is for anyone with a strong interest in data, artificial intelligence, and machine learning who wishes to learn more about a high-demand field and offers many career options.
Why One Should Take The Data Science Course?

In modern day technology-pushed international, the importance of Data Science can’t be overstated. It is important for making informed and strategic decisions in present-day virtual world. Opting for Data Science Course in Pune route equips you with valuable competencies like coding, machine studying, and facts visualization. You can go for the following opportunities:

  • Diverse programs: Data science is applicable in diverse industries consisting of healthcare, finance, and e-commerce.
  • Essential enterprise device: Businesses depend closely on facts evaluation for selection making.
  • Challenging work: Data technology is intellectually stimulating and entails problem-fixing.
  • Perpetual Learning Curve: The constantly evolving area ensures lifelong mastering.
  • Scope for R&D: Data scientists frequently work on modern-day generation.

Improved decision-making abilities: Data technology complements one’s analytical and choice-making talents.

Take The First Step Towards Your Ideal Career
  • Learn from professionals in the field and the curriculum created by IIT.
  • Learn how to use key tools like Tableau, R, Python, and SQL.
  • Gain hands-on experience by working on real-world projects and case studies.
  • Get 100% help finding a job with reputable companies.
  • Develop your knowledge of big data analytics, AI, and machine learning.
  • Flexible learning options include self-paced, weekend, and weekday classes.
  • Get access to specialized interview and placement training sessions.
  • Make connections with peers and professionals in the field to advance your career.
  • Obtain an internationally recognized data science certification.
  • Open up lucrative career options in data-driven fields.

How does the Data Science certification impact your career?

  • Career advancement: Gives access to highly sought-after jobs like analyst, data scientist, and machine learning engineer.
  • Increased Earning Potential: Certified professionals generate substantially higher salaries in data-driven industries.
  • Improved Skills: To remain competitive in the changing labor market, learn how to use cutting-edge tools and technologies.
  • Worldwide Possibilities: Obtain a globally accepted certification that raises your profile for employment prospects abroad.
In this data science course, what abilities will you acquire?

You will learn the essential abilities needed to succeed as a data scientist in this course, including:

  • Linux: To become proficient with the Linux command line, learn the fundamental commands. Linux powers the majority of the world’s production systems.
  • Python for Data Science: Learn Python programming firsthand and become familiar with its data science tools, including Matplotlib, Numpy, and Pandas. Practical knowledge of ETL (Extract, Transform, Load) will be yours to take away from this data science class.
  • Statistics: A solid understanding of mathematics, including linear algebra, is necessary to succeed as a data scientist.
  • Machine Learning: Use this program to learn supervised and unsupervised algorithms and use them to solve business problems.
  • Artificial Intelligence: Learn about artificial intelligence and how neural networks and businesses use it. Develop your own AI applications and work on projects.
  • Power BI: Microsoft’s most popular visualization tool is Power BI. Learn to make management reports and intricate interactive dashboards.
  • MLOps: After mastering machine learning algorithms, it is time to implement your developed machine learning model on a cloud platform such as AWS or Azure.
  • MS Excel: To become an expert in data transformation, data manipulation, modeling, and reporting, learn Excel analytics from the ground up.
  • Generative AI: Learn to rapidly use tools like ChatGPT and prompt engineering to create data science applications.

Which courses will be available in this program for data science?

  • Python for Data Science
  • R Programming
  • Machine Learning Algorithms
  • Data Visualization with Tableau
  • Big Data Analytics with Hadoop
  • SQL for Data Management
  • Artificial Intelligence and Deep Learning
  • Natural Language Processing (NLP)
  • Predictive Analytics
  • Statistical Methods and Data Mining
Why Should You Choose 3RI Institute for Pune Data Science Training?

3RI Technologies Institute is one of Pune’s most well-known data science coaching centers. Our expertise lies in providing customized courses to both professionals and beginners across many industries. Qualified professors who are involved in the Data Science Sector oversee our industry-focused Data Science program. Our Data Science Trainers put a strong emphasis on valuable applications to get students ready for problems in the actual world of data science. In our Data science classes in Pune, we cover the basics of methodologies such as logistic regression, decision trees, random forests, and support vector machines (SVM).

In addition, we provide in-depth training in Python and R, giving our students the tools they need to create comprehensive data analytics pipelines. 3RI Technologies, the best Data Science Training Institute in Pune, is committed to providing top-notch instruction in Pune. Our training in Data Science techniques aims to equip participants with the skills and information needed to succeed in the quickly developing data science industry. They will, therefore, have an advantage over others in their data science career.

The above discussion is sufficient to throw light on the correlation that exists between the data professionals and the web developers, the business managers and all. A Data Scientist who possesses worthy skills is thus in high demand; and banners as reputed as Amazon, eBay and many more are eager to hire them at the earliest. Simply speaking, Data Scientists have become the direct determinants of business efficiency and profit optimization.

3RI Technologies is a Premier Institute offering well-structured Data Science Classes in Pune and it trains the candidates in the latest Data Science concepts apart from discussing the fundamentals and topics of core significance.

Career Growth in Data Science

 
The Practice Areas of Data Science

Data Science is an interrelated space of practice and warrants collective use of statistical models, data management, analytics and inference derivation for the business client (whose service niche and hence functional orientation could be really unique)! Broadly, you can delineate the following in Data Science matrix –

  • Big data This domain relates to the ability of the data professional to aggregate, through all possible sources, quality data (hence metrics) and also manage the same for productive analyses. Statistical models play a vital role here.
  • Data Analytics Here, the data scientist builds innovative programming models towards analyzing the raw data sets that could be unstructured, unrelated, dynamic, obsolete & redundant. Languages like Python are actively relied upon for designing smart data analytics models. Business Intelligence (BI) tools are embedded to ensure coherent resonances.
  • Programmed Automation The Data Scientist develops consistent algorithms (machine learning) that behave in automation to churn available data from designated sources and generate the demanded leads (like pertaining to marketing, sales, customer engagement, feedback and more). Such programmed automation helps the business client to get a regular supply of inference and insights of custom usage.

3RI Technologies conducts its Data Science Course in Pune every year and offers comprehensive Training that combines theoretical knowledge with ‘hands-on’ experience for the candidates. You learn as a team member from the real-time projects being undertaken at 3RI Technologies.

What are some of the most important instruments and methods in data science?

For data processing, analysis, and visualization, computer languages like Python and R are vital tools and methods in the data science field. Data patterns are modeled and predicted using machine learning (ML) methods, which include k-means clustering, decision trees, and neural networks. Techniques for cleaning and organizing data are essential for getting raw data ready for analysis. It is easier to create educational charts and graphs with visualization tools like Tableau and Matplotlib. Large datasets are also handled and processed using big data platforms like Hadoop and Spark, while SQL is essential for database administration and querying. When combined, these methods and technologies give data scientists the ability to draw conclusions from data and make informed decisions. With our data science course in Pune, we at 3RI Technologies are sure you will be able to learn all of these technologies and much more. Learn about quantum computing and how it uses the laws of quantum mechanics to tackle complicated problems more quickly than with conventional computers.

After taking this Data Science course, what kinds of jobs are there in Data Science?

In order to prepare workers for employment in analytics, artificial intelligence, data visualization, statistics, and the function of a data scientist, 3RI Technologies provides  Data Science training in Pune. Our data science and machine learning course is ideal for professionals seeking careers in analytics, AI, data visualization, statistics, or data science. Data scientists with years of experience in the industry design our customized Data Science and Machine Learning Training Courses in Pune. The course covers R computing, integrating R with the Hadoop framework, and applying machine learning methods, such as decision trees, regression models, and K-means clustering, to real-world case studies.

With the use of these abilities, you will be ready for important positions like data scientists, which will boost sales for the company. You will adopt contemporary data techniques with the help of 3RI Technologies’ Data Science courses in Pune, enabling them to handle strategic tasks successfully. Our certified Data Scientists teach our Data Science classes, giving you the immediate practical knowledge they need to put what they have learned into practice and use machine learning to tackle challenging business problems.

Following completion of the training required for Data Science certification, the following are just a few of the numerous career choices in Data Science: 

Career Path

Description

Skills

Data Scientist

Evaluating and analyzing intricate datasets.

Data visualization abilities, machine learning, statistical analysis, and fluency in Python and R are all required.

Machine Learning Engineer

Constructing and implementing models for machine learning.

Algorithms for machine learning, model development and implementation, Python and related ML libraries mastery, and AWS SageMaker

Big Data Analyst

Large-scale dataset management and analysis.

Proficiency with SQL, AWS Glue, Athena, Redshift, and big data tools (Hadoop, Spark) are requirements for this role.

Cloud Data Engineer

Creating and putting into practice data storage solutions.

Creation of data pipelines, proficiency with database management, cloud storage (AWS S3), and familiarity with AWS services (Redshift).

Data Visualization Specialist

Making intelligent and interactive visualizations.

AWS Quicksight, design concepts, communication skills, and data visualization tools like Tableau and Power BI.

Trainer profile of data science

We are providing the best Data Science professional, together with our committed group, has crafted a profound and sensible course curriculum. Their extensive-accomplishing expert network, gathered enjoys and deep understanding of the area wills manual you thru the complex world of Data Science, seamlessly and effectively. Students are free to ask any doubt from the Data science trainer at any time.

  • Extensive professional enjoy in information science, facts, and analytics projects.
  • Holds advanced levels in Data Science, Mathematics, Computer Science, or a related area.
  • Expertise in information visualization tools like Tableau.
  • Proven tune report of presenting treasured insights for commercial enterprise decision-making through information analysis.

Proficiency after training

Our Data Science professional aim is no longer just teach however additionally equip you with sensible abilities vital in the industry nowadays. You’d be adept at exploring, studying, and deciphering big statistics sets, uncovering traits and correlations. By the stop of the course, you may be gifted in translating facts-pushed insights into actionable choices and developing predictive models for actual-world issues.

  • Post-training talent demonstrated via improvement in task-related responsibilities.
  • Enhanced understanding and understanding, reflected in advanced selection-making competencies.
  • Greater self assurance in dealing with complicated responsibilities, indicating a deeper know-how of the difficulty.
  • Adaptability to new structures and technology as a final results of the education.

We accept as true with that everybody should have the opportunity to journey the wave of technological development. Thus, we offer you this may not leave out danger to dive headfirst into the intriguing international of industry-oriented data science curriculum.

So, be part of us nowadays for an enlightening Data Science adventure that no longer only guarantees international-class education from Data Science professional but also opens up a pathway main to remarkable career potentialities. Outshine your friends and stand out to ability employers by means of learning Data Science courses in Pimpri Chinchwad, one of the maximum sought-after talent units in trendy market.

What type of jobs do I suit for after completing this data science course from Pune?

“Open Beat Work Parts with Information Science Course in Pune Upon completing our comprehensive Information Science program, you’ll have a one-of-a-kind combination of aptitudes that are exceedingly prized by beat bosses. Get ready to set out on a fulfilling career as a:

  • Data Analytics Expert: Drive trade development with data-driven bits of knowledge
  • Data Scientist: Open complex issues with cutting-edge procedures
  • Analytics Lead/Manager: Initiate data-driven activities and groups
  • Specialist in Statistical Programming: Ace the craftsmanship of information control and examination
  • Machine Learning (ML) Engineer: Plan and send shrewdly frameworks that drive development

Our course sets you up for victory in these in-demand parts, enabling you to flourish within the rapidly advancing information

The competition entirety of a data science curriculum in Pune can open the door to a wealth of professional possibilities. As a records scientist, you may discover an area in an extensive style of industries together with technology, healthcare, finance, e-trade, and greater. You ought to excel in roles like Data Analyst, Business Intelligence Analyst, Data Engineer, or maybe a Machine Learning Engineer. Your newfound competencies in data interpretation, predictive analytics, and trouble-solving will make you a valuable asset inside the digital global. You’ll be ready to make strategic selections, improve enterprise operations, and influence the trajectory of your company.

science scene.” 

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Syllabus- Data Science

The detailed syllabus is designed for freshers as well as working professionals

Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers

Module 1: Fundamentals of Statistics & Data Science

1. Fundamentals of Data Science and Mathematical statistics
    ● Introduction to Data Science
    ● Need of Data Science
    ● BigData and Data Science
    ● Data Science and machine learning
    ● Data Science Life Cycle
    ● Data Science Platform
    ● Data Science Use Cases
    ● Skill Required for Data Science
2. Mathematics For Data Science
    ● Linear Algebra-Matrices
        o Zero
        o One
        o Identify
        o Diagonal
        o Column
        o Row
        o Operations
3. Introduction to Statistics
    ● Descriptive vs. Inferential Statistics
    ● Types of data
    ● Measures of central tendency and dispersion
    ● Hypothesis & inferences
    ● Hypothesis Testing
    ● Confidence Interval
    ● Central Limit Theorem
4. Probability and Probability Distributions
    ● Probability Theory
    ● Conditional Probability
    ● Data Distribution
    ● Distribution Functions
        o Normal Distribution
        o Binomial Distribution

Module 2: MS Excel

1. Using a Spreadsheet
    ● What is Excel?
    ● Why Use Excel?
    ● Excel Overview
    ● Excel Ranges, Selection of Ranges
    ● Excel Fill, Fill Copies, Fill Sequences,Sequence of Dates
    ● Excel adds, move, and delete cells
    ● Excel Formulas
    ● Relative and Absolute References
2. Functions
    ● SUM
    ● AVERAGE
    ● COUNT
    ● MAX & MIN
    ● RANDBETWEEN
    ● TRIM
    ● LEN
    ● CONCATENATE
    ● TODAY & NOW
3. Advanced Functions
    ● Excel IF Function
    ● Excel If Function with Calculations
    ● How to use COUNT, COUNTIF, and
    ● COUNTIFS Function?
4. Data Visualization
    ● Excel Data Analysis – Data Visualization
    ● Visualizing Data with Charts
    ● Chart Elements and Chart Styles
    ● Data Labels
    ● Quick Layout

Module 3: RDBMS: SQL
  • An Introduction to RDBMS & SQL
  • Data Retrieval with SQL
  • Pattern matching with wildcards
  • Basics of sorting
  • Order by clause
  • Aggregate functions
  • Group by clause
  • Having clause
  • Nested queries
  • Inner join
  • Multi join
  • Outer join
  • Adding and Deleting columns
  • Changing column name and Data Type
  • Creating Table from existing Table
  • Changing Constraints Foreign key.
Module 4: Python for Data Science

1. An Introduction to Python

    ● Why Python , its Unique Feature and where to use it?
    ● Python environment Setup/shell
    ● Installing Anaconda
    ● Understanding the Jupyter notebook
    ● Python Identifiers, Keywords
    ● Discussion about installed module s and packages
2. Conditional Statement ,Loops and File Handling
    ● Python Data Types and Variable
    ● Condition and Loops in Python
    ● Decorators
    ● Python Modules & Packages
    ● Python Files and Directories manipulations
    ● Use various files and directory functions for OS operations
3. Python Core Objects and Functions
    ● Built in modules (Library Functions)
    ● Numeric and Math’s Module
    ● String/List/Dictionaries/Tuple
    ● Complex Data structures in Python
    ● Python built in function
    ● Python user defined functions
4. Introduction to NumPy
    ● Array Operations
    ● Arrays Functions
    ● Array Mathematics
        ▪ Mean
        ▪ Standard Deviation
        ▪ Max
        ▪ Min
    ● Array Manipulation
        ▪ Reshaping
        ▪ Resizing
    ● Array I/O
    ● Matrix creation
    ● Data generation
    ● Random function
    ● Normalized Data Generation
    ● Indexing and Slicing
    ● Transpose
    ● Importing Files with Numpy
5. Data Manipulation with Pandas
    ● Data Frames
    ● Series
    ● I/O
    ● Creating Pandas DataFrame
    ● Selection in DFs
    ● Data Describe
    ● Data info
    ● Retrieving in DFs
    ● Applying Functions
    ● Reshaping the DFs – Pivot
    ● Combining DFs Merge Join
    ● Data Alignment
6. SciPy
    ● Hypothesis Testing using Scipy
    ● Shapiro Test
    ● Spearmaman Test
    ● T-Test of Independents
    ● Chi-Square Test
7. Visualization with Seaborn
    ● Seaborn Installation
    ● Introduction to Seaborn
    ● Basics of Plotting
    ● Plots Generation
    ● Visualizing the Distribution of a Dataset
    ● Selection color palettes
8. Visualization with Matplotlib
    ● Matplotlib Installation
    ● Matplotlib Basic Plots & it’ s Containers
    ● Matplotlib components and properties
    ● Scatter plots
    ● 2D Plots
    ● Histograms
    ● Bar Graphs
    ● Pie Charts
    ● Box Plots
    ● Customization
    ● Store Plots
9. Descriptive Statistics
    ● Data understanding
    ● Observations, variables, and data matrices
    ● Types of variables
    ● Measures of Central Tendency
    ● Arithmetic Mean / Average
        ▪ Merits & Demerits of Arithmetic Mean and Mode
        ▪ Merits & Demerits of Mode and Median
        ▪ Merits & Demerits of Median Variance
10. Probability Basics
    ● Notation and Terminology
    ● Unions and Intersections
    ● Conditional Probability and Independence
11. Probability Distributions
    ● Random Variable
    ● Parameters vs. Statistics
    ● Binomial Distribution
    ● Central Limit Theorem
12. Tests of Hypothesis
    ● Large Sample Test
    ● Small Sample Test
    ● One Sample: Testing Population Mean
    ● Hypothesis in One Sample z-test
    ● Two Sample: Testing Population Mean
    ● One Sample t-test – Two Sample t-test
    ● Paired t-test
    ● Hypothesis in Paired Samples t-test
    ● Chi-Square test
13. Data Analysis
    ● Case study- Netflix
    ● Deep analysis on Netflix data

Module 5: Machine Learning

1. Exploratory Data Analysis
    ● Data Exploration
    ● Missing Value handling
    ● Outliers Handling
    ● Feature Engineering
    ● Train-Test Split
    ● Standard Scaler
    ● Min-Max Scaler
    ● Data Preprocessing
    ● Resampling
        ▪ Up-Sampling
        ▪ Down-Sampling
2. Machine Learning: Supervised Algorithms Classification
    ● Introduction to Machine Learning
    ● Linear Regression
    ● Multiple Linear Regression
    ● Gradient Descent
    ● Logistic Regression
        ▪ Binary Classification
        ▪ Multiclass classification
    ● Naïve Bays Algorithm
    ● K-Nearest Neighbor Algorithm
    ● Decision Tress
        1. Classification
        2. Regression
    ● Support Vector Machines
    ● Random Forest
    ● Model Evaluation and performance
        ▪ Accuracy ,Precision
        ▪ Recall
        ▪ F1 Score
        ▪ Confusion Matrix
        ▪ Classification Report
        ▪ K-Fold Cross Validation
        ▪ ROC, AUC etc…
    ● Hyper parameter tuning
3. Machine Learning: Unsupervised Learning Algorithms
    ● Similarity Measures
    ● Cluster Analysis and Similarity Measures
    ● K-Means Clustering
        ▪ Elbow Method
    ● Hierarchical Clustering
        ▪ Agglomerative Clustering
    ● K-Nearest Neighbors
4. Ensemble algorithms
    ● Bagging
        ▪ Random Forest
    ● Boosting
        ▪ Adaboost
    ● Voting
    ● Stacking
    ● Principal Components Analysis
5. Recommendation Systems
    ● Collaborative filtering model
    ● Content-based filtering model.
    ● Hybrid collaborative system

Module 6: Artificial Intelligence & Deep Learning

1. Artificial Intelligence
    ● An Introduction to Artificial Intelligence
    ● History of Artificial Intelligence
    ● Future and Market Trends in AI
    ● Intelligent Agents – Perceive-ReasonAct Loop
    ● Constraint-based Reasoning
2. Deep networks and structured knowledge
    ● Studying Neural Elements
    ● Neural Networks and Perceptions
    ● Understanding Feedforward Networks
    ● Exploring Backpropagation
    ● Working of Neural Networks
3. Natural Language Processing
    ● Natural Language Processing
    ● NLP in Python
    ● Tokenization
    ● Part of Speech Tagging (POS Tagging)
    ● Named Entity Recognition
    ● Semantic Analysis
    ● Sentiment Analysis
4. Artificial Neural Network
    ● Understanding Artificial Neural Network
    ● The Activation Function
    ● Building an ANN
    ● Building Problem Description
    ● Evaluation the ANN
    ● Improving the ANN
    ● Tuning the ANN.
5. Conventional Neural Networks
    ● CNN Intuition
    ● Convolution Operation
    ● Kernel Operation
    ● Filtering operation
    ● Padding on image
    ● Pooling Layer
    ▪ Max Pooling
    ▪ Average Pooling
    ● ReLU Layer
    ● Fully Connected Dense Layer
    ● Softmax and Cross-Entropy
    ● Building a CNN
    ● Evaluating the CNN
    ● Improving the CNN
    ● Tuning the CNN
6. Recurrent Neural Network
    ● Recurrent Neural Network
    ● RNN Intuition
    ● The Vanishing Gradient Problem
    ● LSTMs and LSTM Variations
    ● Practical Intuition
    ● Building an RNN
    ● Evaluating the RNN
    ● Improving the RNN
    ● Tuning the RNN
7. Time Series Data
    ● Introduction to Time series data
    ● Data cleaning in time series
    ● Pre-Processing Time-series Data
    ● Prediction in Time Series using LSTM
    ● Prediction in Time Series using ARIMA

Module 7: GIT: Complete Overview

1. Introduction to Git & Distributed Version Control
2. Life Cycle
3. Create clone & commit Operations
4. Push & Update Operations
5. Stash, Move, Rename & Delete Operations.

Module 8: Machine Learning in Cloud

Project Work and Case Studies
    ❖ Machine Learning end to end Project blueprint
    ❖ Case study on real data after each model.
    ❖ Regression predictive modeling – E-commerce
    ❖ Classification predictive modeling – Binary Classification
    ❖ Case study on Binary Classification – Bank Marketing
    ❖ Case study on Sales Forecasting and market analysis
    ❖ Widespread coverage for each Topic
    ❖ Various Approaches to Solve Data Science Problem
    ❖ Pros and Cons of Various Algorithms and approaches
    ❖ Amazon-Recommender
    ❖ Image Classification Sentiment Analysis
Project Domain: FINANCE
    ● The insurance company wants to decide on the premium using various parameters of the client.
    ● It’ s an important problem to keep the clients and attract new ones.
By completing this Project you will learn:
    ● How to collect data?, how to justify the right features? , Which ML / DL model is best in this situation? How much data is enough?
    ● How to have CI/CD in the project?
    ● How to do Deployment of Project to cloud?
Project Domain: Image Processing in Health care
    ● A hospital wants to automate the Detection of pneumonia in X-rays using image processing.
By completing this Project you will learn:
    ● How to handle image data? How to preprocess and augment image data?
    ● How to choose the right model for the image process?
   ● How to apply transfer learning in image processing?
    ● How to do incremental learning & CI/CD in the project?
    ● How to do Deployment of Project to cloud?

Natural Language Processing
    ● One of the companies wants to automate applicant’ s level in English communication.
    ● Create a ML/DL model for this task.
By completing this Project you will learn:
    ● How do convert text to the right representation?
    ● How to preprocess text data? How to select the right ML/DL model for text data?
    ● How to do transfer learning in Text Analytics?
    ● How to do CI/CD in a text analytics project? How to do Deployment of Project to cloud?
Mechanical
    ● A mechanical company wants to perform predictive maintenance of engine parts.
    ● This enables the company to efficiently change parts before the machine fails.
By completing this Project you will learn:
    ● How to handle time-series data?
    ● How to preprocess time series data?
    ● How to create ML/DL model for Time-series Data?
    ● How to do CI/CD in a text analytics project?
    ● How to do Deployment of Project to cloud?
Sales / Demand Forecasting
    ● Predict the sales/demand of a product of a company.
    ● Sales / Demand forecasting of the product will help the company efficiently manage the resources.
    ● Create a ML/DL model for this problem.
By completing this Project you will learn:
    ● How to handle time-series data?
    ● How to preprocess time series data?
    ● How to create ML/DL model for Time-series Data?
    ● How to do CI/CD in a text analytics project? How to do Deployment of Project to cloud?

Module 9: Data Visualization with Tableau

1. Introduction to Data Visualization & Power of Tableau
    ● Architecture of Tableau
    ● Product Components
    ● Working with Metadata and Data Blending
    ● Data Connectors
    ● Data Model
    ● File Types
    ● Data Source Filters
2. Scatter Plot
    ● Funnel Chart
    ● Waterfall Chart
    ● Working with Filters
    ● Organizing Data and Visual Analytics
    ● Working with Mapping
    ● Working with Calculations and Expressions
    ● Working with Parameters
    ● Charts and Graphs
    ● Dashboards and Stories

Module 10: Project Work and Case Studies
  • Machine Learning end to end Project blueprint
  • Case study on real data after each model.
  • Regression predictive modeling – E-commerce
  • Classification predictive modeling – Binary Classification
  • Case study on Binary Classification – Bank Marketing
  • Case study on Sales Forecasting and market analysis
  • Widespread coverage for each Topic
  • Various Approaches to Solve Data Science Problem
  • Pros and Cons of Various Algorithms and approaches
  • Amazon-Recommender
  • Image Classification
  • Sentiment Analysis

Project Domains: Finance

  • Insurance company wants to decide on the premium using various parameters of the client.
  • It’s an important problem to keep the clients and attract new ones.

By completing this project you will learn:

  • How to collect data?, how to justify right features? , Which ML / DL model is best in this situation? How much data is enough?
  • How to have CI/CD in the project?
  • How to do Deployment of Project to cloud?

Image Processing in Health care

  • A hospital wants to automate Detection of pneumonia in X-rays using image processing.

By doing this project you will understand

  • How to handle image data? How to preprocess and augment image data? How to choose right model for image process?
  • How to apply transfer learning in image processing?
  • How to do incremental learning & CI/CD in the project?
  • How to do Deployment of Project to cloud?

Natural Language Processing

  • One of the companies wants to automate applicant’s level in English communication.
  • Create a ML/DL model for this task.

By completing this project you will learn

  • How to do convert text to right representation? How to preprocess text data? How to select right ML/DL model for text data ?
  • How to do transfer learning in Text Analytics?
  • How to do CI/CD in text analytics project?
  • How to do Deployment of Project to cloud?

Mechanical

  • A mechanical company wants to perform predictive maintenance of engine parts.
  • This enables company to efficiently change parts before machine fails.

By performing this task you will learn,

  • How to handle time series data?
  • How to preprocess time series data?
  • How to create ML/DL model for Time series Data?
  • How to do CI/CD in text analytics project?
  • How to do Deployment of Project to cloud?

Sales / Demand Forecasting

  • Predict the sales / demand of a product of a company.
  • Sales / Demand forecasting of the product will help company efficiently manage the resources.
  • Create a ML/DL model for this problem.

By performing this project you will learn,

  • How to handle time series data?
  • How to preprocess time series data?
  • How to create ML/DL model for Time series Data?
  • How to do CI/CD in text analytics project?
  • How to do Deployment of Project to cloud?

Course Highlights

Live sessions across 4 months

Industry Projects and Case Studies

24*7 Support

Project Work & Case Studies

Validate your skills and knowledge

Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.

Gain hands-on expertize

Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.

Latest Industry Standards

Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards.

Get Noticed by top industries

Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.

Batch Schedule

Schedule Your Batch at your convenient time.

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Interview Q & A

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Excel Power BI at 3RI Technologies to Build a successful career in Data Science.
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Master MS Excel Tool with 3RI Technologies to streamline data analysis and improve efficiency
ChatGPT Tool to excel in AI and machine learning with 3RI technologies

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Python

Ms Excel

NumPy

Tableau

ChatGPT

PowerBI

GIT

Panda

Big Data

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Seaborn

FAQS

Most frequent questions and answers

Data Science involves using algorithms, statistical models, and analysis to extract insights from data.

A basic knowledge of mathematics is helpful, but foundational courses often include the necessary math skills.

Python and R are the most commonly used programming languages in Data Science.

A Data Scientist examine and explain complicated data to help organizations make informed decisions.

Yes, machine learning is a core component of most Data Science courses.

Career options include Data Scientist, Data Analyst, Machine Learning Engineer, and Business Analyst.

Yes, many courses start with the basics, making it accessible for beginners.

Industries like finance, healthcare, technology, and retail are among the top employers of Data Scientists.

Yes, practical knowledge as well as experience with real-world data sets is important for mastering Data Science skills.

It typically takes 6 months to a year to gain proficiency, depending on the learning path and commitment.

Data Science focuses on broader data exploration and modeling, while Data Analytics is more about interpreting existing data.

 Data Science continues to grow, with increasing demand for skilled professionals across various sectors.

You may additionally marvel at whether or not getting a Data Science certification is worth your effort and time. In cutting-edge virtual-driven international, records technology is rising as an especially rewarding discipline. A Data Science concept is no longer best equips you with capabilities like data, Machine Learning, and predictive modelling, but also shows capacity employers your willpower and competency in facts science. Despite some arguing that real-global revel in outweighs certification, obtaining one profits you a competitive part and regularly results in higher salaries. So, if you have a knack for information and wish to advance your profession, a Data Science certification will be a worthwhile funding. Remember; the price of certification lies in the expertise it imparts and now not simply the identify it confers.

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Data Science Course in Pune

Recent years have seen Pune overtake Mumbai as Maharashtra’s most populous city. The population density is 6,400 people per square kilometer, and 7.4 million people live there. Situated on the fringes of the Sahyadri Hills, Pune  is 560 meters above sea level and is flanked by the Deccan Plateau and the Western Ghats. Temperature extremes in the tropics are rare in Pune’s mild semiarid environment. Pune’s booming economy is largely attributed to the city’s thriving information technology sector and its world-class educational institute. The GDP of Pune is predicted to reach $69 billion by 2021. In addition to its rich history, the city also features numerous museums, zoos, and temples that visitors will find fascinating.

Some of Pune’s most visited landmarks are listed here.

3RI Technologies provide training for software courses like AWS, DevOps, AWS with DevOps, PowerBI, Tableau, Salesforce, Selenium, Java Full Stack, Oracle SQL/PLSQL, Data Science, Machine Learning, Artificial Intellegence.

Data Science Certification Training locations in Pune: Pune City, Aundh (411007), Gokhalenagar (411016), Kothrud (411029), Baner (411004), Shivajinagar (411005), Parvati (411009), Kondhwa (411048), Navsahyadri (411052), Chatursringi (411053), Pimpri Chinchwad (411078), Pimple Gurav (411061), Pimple Nilakh (411027), Pimple Saudagar (411027), Pimple Khed (411017), Pimple Jagtap (411061), Rahatani (411017), Wakad (411057), Balewadi (411045), Vishal Nagar (411027), Thergaon (411033), Shivaji Nagar (Pimpri-Chinchwad) (411017), Sangvi (411027), Jagtap Dairy (411027)

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