Data Science Training 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

Features of this Data Science course

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
Overview of this Data Science course

Become a Data Science expert with 3RI Technologies, one of the leading schools in Kolkata. The course combines theory, case studies, and a capstone project in an ideal way. Designed to be the best in the industry, Kolkata’s data science training programs are the best. The certification will make you stand out to recruiters around the world.

3RI Technologies offers a Data Science course in Kolkata, comprising Data Extraction, covering the complete Data Science lifecycle concepts from Data Cleansing, Data Collection, Data Exploration, Data Transformation, Data Integration, Feature Engineering, building Prediction models, Data Mining, Data Visualization, and delivering the solution to the client. 

Skills and tools ranging from Statistical Analysis, Predictive Analytics, Deep Learning, Hypothesis Testing, Natural Language Processing, Text Mining, Regression Modelling, Machine Learning, Neural Networks, Predictive Modelling, R Studio, Tableau, Spark, programming The Data Science training covers a wide range of programming languages, including R, Hadoop, and Python.

With over 400 participants placed in multinational companies such as Panasonic, VMware, E&Y, IBM, Accenture, Infosys, etc., 3RI Technologies is known as the best Data Science training institute in Kolkata, providing both training and placement services as part of the Data Science training program. Our Data Science training in Kolkata is regarded as one of the best in the industry by 3RI Technologies.

Using data science, organizations can uncover hidden trends, behaviors, interpretations, and inferences from data so that they can make informed business decisions. A Data Scientist / Scientist is a professional who performs these functions. Harvard cites data science as the most sought-after career worldwide and one of the most high-demand jobs. With the Data Scientist program ranking among the most popular programs in Kolkata, it is not surprising. There are several professionals who can benefit from taking a Data Science course as a next step in their careers:

  • Any professional with analytical, logical, and mathematical skills
  • Data warehousing, business intelligence, and reporting professionals
  • A statistician, an economist, and a mathematician
  • Computer programmers
  • A business analyst
  • Consultants with Six Sigma expertise
  • Analytical and logical skills are important for a fresher from any stream
Data Science Course Demand & Future scope

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. 

Why Data Science from 3RI?

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

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24x7 Support and Access
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40 to 50 Hour Course Duration
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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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