Data Science Course In Kolkata
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Upgrade your Data Science Skillset with our Data Analyst courses in Kolkata!
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 Kolkata
Unlock the world of data with 3RI Technologies’ Data Science Course in Kolkata. This training is designed to equip aspiring data scientists and analysts with the essential skills to succeed in today’s data-driven world. Our data science courses in Kolkata cover the core aspects of data analysis, including Python programming, machine learning, statistical analysis, and data visualization, ensuring students gain comprehensive knowledge.
The course is tailored for both beginners and professionals looking to advance their careers in data science. Through real-world projects, hands-on exercises, and industry-relevant tools, you will gain the confidence to solve complex data problems and make data-driven decisions. Whether you’re starting your career or looking to make a career shift, this course offers all the skills necessary to enter the rapidly growing field of data science.
We also provide detailed guidance on data analyst course fee in Kolkata, ensuring that you get the best value for your investment. With expert instructors, job placement assistance, and a proven curriculum, 3RI Technologies is your partner in shaping your future in data science.
Join today and take your first step towards becoming a successful data scientist!
Data Science Course features
- Live Sessions
- Mocks, Assignments, & Tests
- Job Assistance
- 24/7 Lifetime Technical Support
- 10+ years of experience Proficient
- Real-time project experience
- Flexible Timings
Prerequisites
Basic knowledge of Python programming language, SQL, and files (MS Excel, CSV, etc.) with knowledge about algebra and geometry.
Course Duration
40 hours, i.e., 8-9 weeks approx.
Who all can apply for this course?
- Career switch Developers
- Candidates willing to start their career in Data Science or data analytics field
- Machine Learning or Hadoop background developers
- Data Analysts
- Business Analysts
A data scientist is an expert in using software, such as Java, Hadoop, Python, or Pig. Some of their duties include analyzing data, structuring analytics, and managing data science course fees in Kolkata are reliable and the future is bright due to the high-end demand brought about by digitalization.
Any organization can benefit from data scientists. Big data can be critically analyzed and the solution for the enhancement process can be quickly obtained. Additionally, the experts provide outstanding product recommendations as well as marketing strategies. A company’s success depends on data science.
Despite the growing demand for data scientists and machine learners, there is still a shortage of trained professionals. Students can also take advantage of their peer network to find jobs in Data Science. India’s massive data growth gives a glimpse of its future potential for Data Science.
Health care sector
In the healthcare sector, there is a huge need for data scientists, because they create a great deal of data every day. A candidate who is not professional will not be able to manage such a large amount of data.
In addition to keeping records of patients’ medical history, hospital bills, and staff personal details, hospitals need to keep many other records. Increasingly, data scientists are being hired by the medical industry to enhance the quality and safety of patient records.
Transport Sector
The transportation industry requires data scientists to analyze data collected by passenger counting systems, fare collection, location systems, asset management, ticketing, and asset management.
E-commerce
A big part of the e-commerce industry’s success is due to data scientists analyzing the data and providing customized recommendations to end-users.
Learn the data science course in Kolkata from the 3RI academy and become a data scientist with a good salary package.
Data scientist course in Kolkata transforms big data into a problem-solving solution for businesses by using coding and algorithms. Computer science, statistics, mathematics, modeling, and analytics are normally strongly combined with a strong business sense.
Increasing hiring has been a result of small startups generating huge amounts of data every day. Since the demand for data scientists is never-ending, their pay scale is well-groomed. Data scientists work with developers to make their products more useful for consumers.
You are at the right place if you are interested in a career in Data Science. Among the best Data Science, training institutes in Kolkata is 3RI Technologies. Multinational companies both in India and abroad have hired many of our Data Science professionals. Job placement is one of our main specialties. Through the process, our team will be by your side. You will gain upskilling in the concepts and be guided through assignments and live projects by our expert trainers.
In addition to its dedicated placement cell, 3RI Technologies has partnerships with 150+ companies that facilitate the interview process and facilitate placements. Among several educational institutions, 3RI Technologies provides training in the field of Data Science and many other courses. Teachers are the foundation of our business. We have a team of Data Scientists with a combined experience of more than 15 years as Data Scientists. Our trainers are mostly graduates from reputable universities. A few of them have PhDs. As a result of our faculty, we are considered to have the best Data Science certification in the field. 3RI Technologies offers eLearning (recorded sessions) and instructor-led online classes, all offered through a single enrollment. Combining these three modes of learning will provide a synergistic result. For one year, instructor-led online sessions from a variety of trainers are free of charge. 3RI Technologies is considered to be one of the best Data Science training institutes in Kolkata, which enables students to master Data Science concepts and secure a job in the field. The course at 3RI Technologies’s Data Scientist program is considered to be one of the best on the market due to the meticulous curriculum and top-notch faculty.
Skills Required
- No Prerequisites for Data Science certification training
- Basic knowledge of SQL is advantageous
Data Science Course Syllabus
Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers
- 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
- Mathematics For Data Science
- Linear Algebra
- Vectors
- Matrices
- Optimization
- Theory Of optimization
- Gradients Descent
- 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
- Probability and Probability Distributions
- Probability Theory
- Conditional Probability
- Data Distribution
- Distribution Functions
- Normal Distribution
- Binomial Distribution
- 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
- 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
- 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
- Exploratory Data Analysis
- Data Exploration
- Missing Value handling
- Outliers Handling
- Feature Engineering
- Feature Selection
- Importance of Feature Selection in Machine Learning
- Filter Methods
- Wrapper Methods
- Embedded Methods
- Machine Learning: Supervised Algorithms Classification
- Introduction to Machine Learning
- Logistic Regression
- Naïve Bays Algorithm
- K-Nearest Neighbor Algorithm
- Decision Tress
- SingleTree
- Random Forest
- Support Vector Machines
- Model Ensemble
- Model Evaluation and performance
- K-Fold Cross Validation
- ROC, AUC etc…
- Hyper parameter tuning
- Regression
- classification
- Machine Learning: Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree and Random Forest Regression
- Machine Learning: Unsupervised Learning Algorithms
- Similarity Measures
- Cluster Analysis and Similarity Measures
- Ensemble algorithms
- Bagging
- Boosting
- Voting
- Stacking
- K-means Clustering
- Hierarchical Clustering
- Principal Components Analysis
- Association Rules Mining & Market Basket Analysis
- 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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Who can apply for the course?
- Aspiring Data Scientists who are interested in switching careers.
- Graduate/post-graduate students wishing to pursue their careers in Data Analytics/Data Science.
- Professionals who work with big data.
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Machine learning is a topic of interest to professionals.
- Business analysts and those who work with data
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