Data Science Training in Mumbai

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Upgrade your Data Science Skillset with our Data Analyst courses in Mumbai!

 

Trained 15000+ Students | Course duration: 40 hours | Real-time Project Execution | Certification exam after course completion | Basic to advanced level learning |

Key Features

Course Duration : 8 Weeks

Live Projects : 1

Online Live Training

EMI Option Available

Certification & Job Assistance

24 x 7 Lifetime Support

Our Industry Expert Trainer

We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.

Overview of Data Science Training Course in Mumbai

Overview of this Data Science course in Mumbai

Data Science is defined as the process of obtaining important business insights from data using several methods. It may also be defined as a process that integrates data analysis, learning algorithms, analysis tools, and technology to successfully solve difficult analytical problems. New Data Science technologies are being created exclusively to organize this growth in data so that data may be extracted at the most basic level. Companies are generating ever-increasing volumes of data and have begun to implement emerging technologies to discover patterns in the data to get business insights that allow them to produce business value and stay competitive in the market.

For decades, Data Science has been employed in a variety of industries, and it is a popular trend since it has the potential to significantly boost economic development. Data Science is the ability to analyze and solve problems utilizing formerly unmanageable and unmaintainable data. As a result of the benefits of Data Science, data is increasingly considered as a business asset, with Data Scientists analyzing business insights and changes into all types of data to represent the digital era’s future.

Companies are looking for skilled Data Scientists to help them manage and analyze their data. They need to do more than just evaluate data; they need to improve it. As a result, Data Science is focused on improving and enriching data for the company’s benefit. Besides, Data Science has assisted in the automation of repetitive operations in a range of sectors. Machine Learning Algorithms are being used by businesses to train machines how to do repetitive jobs using historical data. As a result, previously difficult activities have become easier to do. Besides, Machine Learning has enabled companies to create customized solutions that are tailored to the specific needs of clients. As a consequence of the advancement in data science, one may obtain tailored information and make data-driven decisions.

As data is so vast and continues to grow, terms like Data Mining, Data Cleaning, Data Analysing, and Data Interpreting are frequently interchanged to refer to different skill sets and levels of data complexity. The professions of Data Scientist, Data Analyst, and Data Engineer are in high demand and provide a wide range of career opportunities. 

Data Scientist

Data scientists analyze which data issues need to be addressed and where they can get the data they need. They are analytical and business-savvy, with the capacity to collect, clean, and analyze data. Companies recruit data scientists to assist them in collecting, organizing, and analyzing massive amounts of data. The data is then analyzed and presented to key stakeholders to help them make strategic decisions. To become a Data Scientist, you will need programming skills in R and Python, a strong foundation in statistical and mathematical capabilities, communication, data visualization, and machine learning approaches.

Data Analyst 

Data Analyst acts as a liaison between Business Analysts and Data Scientists. They deal with organizational issues by collecting and analyzing data to meet insights that are in line with the company’s overall strategy. Data analysts are in charge of converting technical data into business solutions and presenting their findings to a stakeholder or client. To become a Data Analyst, you will need a strong foundation in a solid foundation in statistics and mathematics, communication, data visualization, data wrangling, and machine learning approaches.

Data Engineer

Data Engineer is in charge of managing massive volumes of data that are always changing. They design, develop, manage, and optimize cloud-based applications that transform data and transmit it to Data scientists for data analysis. To become a Data Engineer, you’ll require programming skills in languages like Java and Scala, as well as knowledge of NoSQL databases like MongoDB and Cassandra DB and open source frameworks like Apache Hadoop.

Data Science positions are rewarded with a substantial salary and great career opportunities at both large and small companies across a wide range of industries for their highly technical skillset. As shown by the enormous number of available positions listed on job portals, Data Science experts with the requisite knowledge and professional training have the opportunity to establish a substantial presence.

By strengthening certain knowledge and technical skills, young and professional Data Scientists may stand out even more. Individuals may advance their careers and make their jobs more efficient by regularly refining their competencies and updating their skills. 3RI Technologies is the finest Data Science Training Institute in Mumbai, with Data Science courses intended for both fresh graduates and professionals.

Why From 3RI Technologies?

3RI Technologies is the Best Data Science Training Institute in Mumbai, providing Data Science Courses that are focused on real-world scenarios. Data Science Training In Mumbai assists you acquire confidence and expertise in your career by delivering real-world technological solutions. Our Data Science Course in Mumbai content is produced by Data Science experts and updated regularly by the industry, ensuring that you are well-versed and proficient in Data Science.
3RI Technologies Data Science Training in Mumbai provides Online and Classroom training, as well as corporate (on-site) training. You may learn at your own pace online with the help of one–on–one training. 3RI Technologies Data Science Training in Mumbai will assist you in becoming a more successful Data Scientist or Data Analyst, AI Expert, ML Expert whether you are just starting or need to improve your skills in Data science technology.
Individuals would need a basic foundation of basic mathematics and statistics knowledge to get started with Data Science before enrolling in Data Science Classes In Mumbai. Our training experts have put together a thorough course on Apache Hadoop Framework, Python, R, Machine Learning, MongoDB and Cassandra DB, and other data tools and technologies. Data Science courses in Mumbai include case studies and real-world projects. Besides, our Data Scientist Course in Mumbai also includes strategies that will prepare you to acquire and analyze data, as well as the analysis expertise required when identifying a solution for businesses based on sectors, applications, and company size.
As the need for Big Data skills and technology rises, a career in Data Science is getting increasingly demanding. For anybody looking to grow in their profession, mastering and becoming competent in essential abilities is a key benefit of our Data Science Course in Mumbai. In our Data Science Course in Mumbai, you will learn Data Science Technologies and Business Intelligence tools, as well as the confidence to collect adequate and relevant data and expertise in Data Science and use them effectively and successfully in the workplace. Our Data Science course fees in Mumbai are affordable, and our Data Science course content covers all concepts, assisting you in becoming an expert in data science tools and technologies as well as acquiring the certification exam concepts.
Data Science certified is in high demand, with an Average Salary in India of 6,98 LPA. Data Science Certification Cost In Mumbai is significantly more affordable, quick, and effective than other certifications. After completing the Data Science Training in Mumbai, which includes mock certification examinations to familiarize you with the certification exam standards, you may begin your career as a Certified Data Science Data Scientist Artificial Intelligence (AI) Expert, Machine Learning (ML) Expert.

Benefits of Data Science Course In Mumbai
  • Best practices of Data Science Technologies and Business Intelligence tools are discussed.
  • Mastering Data Science Technologies and Business Intelligence tools, as well as how to host and manage them.
  • With Data Science, you can show off your skills to potential employers.
  • Those with Data Science training earn a greater Average annual income than their non-certified colleagues.
  • Individuals wanting to advance their careers in Data Science will have additional career opportunities with Data Science certifications.
  • Get a greater chance of being promoted in your present job position.
Reasons To Choose Data Science Course in Mumbai from 3RI Technologies
  • Best Data Science Training in Mumbai with placement assistance 
  • Get the appropriate Data Science training in obtaining high-paying Data Science positions. 
  • Trainer Expert Data Science lecturers with real-world expertise in Data Science tools and best practices.
  • Effective Data Science Resume writing assistance
  •  Profile setup support and assistance – LinkedIn, GitHub, and other similar social networking sites 
  • Data Science Training in Mumbai would benefit both fresh graduates and professionals
  • Affordable Course Fees
  • Access course materials for Data Science  
  • 24/7 Lab sessions
  • Option to enroll in both Classroom and Online training- batches having weekdays and weekends.
  • Practical live sessions and sample mock tests and for Data Science Certification exams 

The following is a list of the appropriate audience for taking a Data Science Course in Mumbai:

  • Software Developers
  • Database Administrators
  • Data Security Consultants
  • Data Engineers
  • Business Consultants
  • Business Analysts
  • Cloud Developers
  • Anyone interested in a Data Science profession.
  • Anyone interested in becoming a Data Scientist or Data Analyst.
  • Experts that want to pass their Data Science Certification exams.
  • Fresher
  • Graduates, Post Graduates, MCA, BCA, BSc(IT)
Course Demand & Future Scope

Data Scientist is one of the most promising jobs in 2021, according to Glassdoor and LinkedIn, and therefore one of the most in-demand careers with a high salary and perks. Due to a lack of qualified individuals anticipated to fill expanded positions and diverse Data Science-related abilities and competencies being the most in-demand by organizations, there is currently a growing need for data science experts across all sectors, large and small. According to the research findings, young competent Data Scientists, Artificial Intelligence (AI) Experts, Machine Learning (ML) Expert will be in great demand in the foreseeable future.
To become a Data Scientist, you must be able to discover relevant data, gather data from a variety of sources, organize it, convert results into business solutions, and effectively communicate data findings to improve business choices. Fresh graduates and professionals are enrolling in Data Science courses because Certified Data Scientists are in high demand in nearly every industry, and Data Science Courses In Mumbai are in high demand.
Data science is one of the most interesting and in-demand career opportunities for competent young graduates and professionals. To become a data scientist, today’s Data Scientists recognize that they must continually broaden their horizons beyond traditional competencies, such as by enhancing their skills in large-scale Data Mining, Data Analysis, and coding. To maximize project benefits and discover critical insights for the organizations and clients with whom they work, competent Fresh graduates and professionals must also be well-versed in all elements of Data Science and exhibit a degree of competence.
Data Science, Artificial Intelligence (AI) Expert, Machine Learning (ML) Expert will be in great demand today and in the future, because there aren’t enough Certified Data Science professionals to meet demand. You will be able to enhance your career while perhaps starting a new one in Data Science with an IBM Data Science Professional Certification or Amazon AWS Big Data Certification. You would be in great demand if you take Data Science Training in Mumbai since you will be a Data Science expert among other competitors. Companies are seeking Data Science Certified Professionals and will compensate you based on your salary expectations.
If you are willing to pursue a career in Data Science, now is the time to enroll in 3RI Technologies Data Science Course In Mumbai if you want to stand out and get hired by MNCs.

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Data Science Course Syllabus

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 Machine Learning
  • 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
  1. Mathematics For Data Science
  • Linear Algebra
    • Vectors
    • Matrices
  • Optimization
    • Theory Of optimization
    • Gradients Descent
  1. 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
  1. Probability and Probability Distributions
  • Probability Theory
  • Conditional Probability
  • Data Distribution
  • Distribution Functions
    • Normal Distribution
    • Binomial Distribution
Module 2: 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
  1. 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
  1. 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
  • Array Manipulation
  • Array I/O
  • Importing Files with Numpy

5. Data Manipulation with Pandas

  • Data Frames
  • I/O
  • Selection in DFs
  • Retrieving in DFs
  • Applying Functions
  • Reshaping the DFs – Pivot
  • Combining DFs
    Merge
    Join
  • Data Alignment 

6. SciPy

  • Matrices Operations
  • Create matrices
    Inverse, Transpose, Trace,   Norms , Rank etc
  • Matrices Decomposition
    Eigen Values & vectors
    SVDs

7. MatPlotLib & Seaborn

  • Basics of Plotting
  • Plots Generation
  • Customization
  • Store Plots

8. SciKit Learn

  • Basics
  • Data Loading
  • Train/Test Data generation
  • Preprocessing
  • Generate Model
  • Evaluate Models

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
  • Probability Distributions
  • Probability Mass Function
  • Parameters vs. Statistics
  • Binomial Distribution
  • Poisson Distribution
  • Normal Distribution
  • Standard Normal Distribution
  • Central Limit Theorem
  • Cumulative Distribution function

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 3: Machine Learning
  1. Exploratory Data Analysis
  • Data Exploration
  • Missing Value handling
  • Outliers Handling
  • Feature Engineering
  1. Feature Selection
  • Importance of Feature Selection in Machine Learning
  • Filter Methods
  • Wrapper Methods
  • Embedded Methods
  1. Machine Learning: Supervised Algorithms Classification
  • Introduction to Machine Learning
  • Logistic Regression
  • Naïve Bays Algorithm
  • K-Nearest Neighbor Algorithm
  • Decision Tress
    1. SingleTree
    2. Random Forest
  • Support Vector Machines
  • Model Ensemble
  • Model Evaluation and performance
    • K-Fold Cross Validation
    • ROC, AUC etc…
  • Hyper parameter tuning
    • Regression
    • classification
  1. Machine Learning: Regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Decision Tree and Random Forest Regression
  1. Machine Learning: Unsupervised Learning Algorithms
  • Similarity Measures
  • Cluster Analysis and Similarity Measures
  1. Ensemble algorithms
  • Bagging
  • Boosting
  • Voting
  • Stacking
  • K-means Clustering
  • Hierarchical Clustering
  • Principal Components Analysis
  • Association Rules Mining & Market Basket Analysis
Module 4: 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

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