Data Science Course in Kolkata (128 Courses Bundle with Certification)

Learn from Home Offer

What you get in this DATA SCIENTIST - Specialization | 150 Course Series?

605+ Hours

150 Courses

Course Completion Certificates

Lifetime Access

Self-paced Courses

Technical Support

Mobile App Access

Case Studies

About Data Science Course in Kolkata

Course Name	Online Data Science Course in Kolkata
Deal	You get access to all videos for the lifetime
Hours	605+ Video Hours
Core Coverage	You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity	Lifetime Access
Eligibility	Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites	Basic knowledge of data and analytics
What do you get?	Certificate of Completion for the course
Certification Type	Course Completion Certificates
Verifiable Certificates?	Yes, you get verifiable certificates for each150 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training	Video Course – Self Paced Learning
Software Required	None
System Requirement	1 GB RAM or higher
Other Requirement	Speaker / Headphone

Data Science Course in Kolkata Curriculum

With the profound course structure and curriculum, anyone who wishes to pursue his/her career in the field of data science, this course is an idol solution for him/her. The course helps in covering a wide range of aspects that varies from Machine Learning, Python, R, data visualization with Tableau. Data analysis and interpretation very easy with the use of the SPSS tool.

This Data Science Course in Kolkata is designed in such a way that it helps in catering to the needs and requirements of people despite their educational background. The course is suitable for both technical and technical background professionals.

At the initial stage of the course which aims at building the understanding of scripting languages like python and R. with the use of different libraries in both python and R, one can easily undertake the data analysis and interpretation task. This Data Science Course in Kolkata will provide hands-on experience to all the learners in terms of live projects and it also provides 620+ hours of intensive learning.

In coordination with the use of advanced libraries in Python and R, the next segment of the Data Science Course in Kolkata with the live project and data modeling using the scripting in R studio. Some of the data models are logistic regression, decision tree modeling, regression tree, etc. once this module is done successfully the next part that comes is financial analytics with the use of R from beginners’ level to advance level.

After this, for data visualization, a hands-on project o Tableau with the use of R is designed for the learners so that they can have an understanding of the data visualization techniques and principles too. At a glance, it can be said that it is one of the highly recommended courses for all data science aspirants as it covers all the aspects of it from beginner to advance level.

MODULE 1: Data Science with Python Essentials Training

Courses	No. of Hours	Certificates
Machine Learning with Python 2024	5h 17m	✔
Machine Learning with Python Case Study - Covid19 Mask Detector	2h 05m	✔
Deep Learning: Automatic Image Captioning for Social Media with Tensorflow	2h 31m	✔
AI Machine Learning in Python	8h 37m	✔
Predictive Analytics and Modeling with Python	8h 26m	✔
Matplotlib for Python Data Visualization - Beginners	4h 12m	✔
Matplotlib for Python Data Visualization - Intermediate	2h 53m	✔
Matplotlib for Python Data Visualization - Advanced	6h 37m	✔
Pandas with Python Tutorial	5h 42m	✔
NumPy and Pandas Python	5h 9m	✔
Pandas Python Case Study - Data Management for Retail Dataset	3h 22m	✔
Python Case Study - Sentiment Analysis	57m	✔
Data Science with Python	4h 14m	✔
Artificial Intelligence with Python - Beginner Level	2h 51m	✔
Artificial Intelligence with Python - Intermediate Level	4h 2m	✔
AI Artificial Intelligence & Predictive Analysis with Python	6h 15m	✔
Video Analytics using OpenCV and Python Shells	2h 13m	✔
Machine Learning using Python	3h 26m	✔
Statistics Essentials with Python	3h 23m	✔
Project on Tensorflow - Implementing Linear Model with Python	1h 46m	✔
Project - Data Analytics with Data Exploration Case Study	5h 6m	✔
Random Forest Algorithm using Python	1h 27m	✔

MODULE 2: Data Science with R & Python Essentials Training

Courses	No. of Hours	Certificates
Seaborn Python - Beginners	2h 28m	✔
Seaborn Python - Intermediate	1h 18m	✔
Seaborn Python - Advanced	1h 56m	✔
PySpark Python - Beginners	2h 16m	✔
PySpark Python - Intermediate	2h 02m	✔
PySpark Python - Advanced	1h 18m	✔
Machine Learning Python Case Study - Diabetes Prediction	1h 02m	✔
R Studio UI and R Script Basics	4h 13m	✔
R Programming for Data Science \| A Complete Courses to Learn	5h 7m	✔
Logistic Regression & Supervised Machine Learning with R	4h 14m	✔
Decision Trees Modeling using R	1h 4m	✔
Project on ML - Churn Prediction Model using R Studio	1h 22m	✔
Financial Analytics in R - Beginners	3h 53m	✔
Financial Analytics in R - Intermediate	1h 28m	✔
Financial Analytics in R - Advanced	1h 35m	✔
R for Finance - Beginners to Beyond	2h 17m	✔
Comprehensive Course on R	3h 54m	✔
Time Series Analysis and Forecasting using R	4h 34m	✔
Project - Fraud Analytics using R	2h 34m	✔
Project - Marketing Analytics using R and Microsoft Excel	2h 9m	✔
Machine Learning with R	20h 25m	✔
Case Study - Customer Analytics using Tableau and R	2h 7m	✔
Case Study - Pricing Analytics using Tableau and R	2h 39m	✔
Business Analytics using R - Hands-on!	16h 21m	✔
Project - Market Basket Analysis in R	37m	✔
Project - Hypothesis Testing using R	3h 6m	✔
Data Visualization with R Shiny - The Fundamentals	39m	✔
Data Science with R	6h 2m	✔
R Studio Anova Techniques Course	2h 18m	✔

MODULE 3: Data Science with SAS Essentials Training

Courses	No. of Hours	Certificates
SAS Business Analytics for Beginners	10h 46m	✔
Predictive Analytics & Modeling with SAS	9h 19m	✔
Quantitative Finance with SAS	3h 29m	✔
SAS Statistics	8h 18m	✔
SAS ODS (Output Delivery System)	9h 36m	✔
SAS PROC SQL	13h 49m	✔
SAS Macros	7h 25m	✔
SAS Advanced Analytics	12h 22m	✔
SAS Graph	2h 1m	✔
SAS DS2	4h 59m	✔
SAS SQL	3h 01m	✔
SAS Practical - Macros	5h 5m	✔
SAS Advanced Programming	10h 7m	✔
SAS Categorical Data Analysis	7h 16m	✔
Certified SAS Base Programmer	12h 2m	✔
SAS Features for Starters	1h 5m	✔
SAS PROC SQL Features	1h 49m	✔

MODULE 4: Big Data & Hadoop

Courses	No. of Hours	Certificates
Big Data and Hadoop Training \| Online Hadoop Course	2h 2m	✔
Hadoop Architecture and HDFS	6h 13m	✔
MapReduce - Beginners	3h 01m	✔
MapReduce - Advanced	5h 35m	✔
Hive - Beginners	2h 47m	✔
Hive - Advanced	5h 11m	✔
PIG - Beginners	2h 1m	✔
PIG - Advanced	2h 13m	✔
NoSQL Fundamentals	2h 01m	✔
Mahout	3h 5m	✔
Apache Oozie	2h 11m	✔
Apache Storm	2h 3m	✔
Apache Spark - Beginners	1h 38m	✔
Apache Spark - Advanced	5h 47m	✔
Splunk Fundamentals	8h 33m	✔
Splunk Advanced 01 - Knowledge Objects	9h 29m	✔
Splunk Advanced 02 - Administration	39h	✔

MODULE 5: Learning from Projects & Practicals

Courses	No. of Hours	Certificates
Project on Hadoop - Sales Data Analysis	42m	✔
Project on Hadoop - Tourism Survey Analysis	55m	✔
Project on Hadoop - Faculty Data Management	35m	✔
Project on Hadoop - E-Commerce Sales Analysis	35m	✔
Project on Hadoop - Salary Analysis	49m	✔
Project on Hadoop - Health Survey Analysis using HDFS	56m	✔
Project on Hadoop - Traffic Violation Analysis	1h 25m	✔
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce	2h 33m	✔
Project on Hadoop - Case Study on Telecom Industry using HIVE	2h 2m	✔
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce	53m	✔
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop	3h 34m	✔
Project on Hadoop - Sensor Data Analysis using HIVE/PIG	5h 26m	✔
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce	3h 02m	✔
Hadoop and HDFS Fundamentals on Cloudera	1h 22m	✔
Project on Hadoop - Log Data Analysis	1h 32m	✔
SPSS 2024 - Beginners	1h 07m	✔
SPSS 2024 - Advanced	5h 19m	✔
Advanced SPSS Project: Impact of EMI on Home Loan	43m	✔
Advanced SPSS Project: Impact of Total Turnover in Equity Market	58m	✔
Advanced SPSS Project: Impact of Trade Data in Equity Market	46m	✔
SPSS GUI and Applications	1h 13m	✔
SPSS - Correlation Techniques	1h 8m	✔
Linear Regression & Supervised Learning with SPSS	3h 07m	✔
SPSS - Multiple Regression Modeling	2h 34m	✔
Logistic Regression & Supervised Learning using SPSS	2h 37m	✔
SPSS - Multinomial Regression	2h 2m	✔
SPSS GUI for Statistical Analysis	2h	✔
Tableau Desktop Training 2024	4h 21m	✔
Tableau Project-Creating Dashboard and Stories For Financial Markets	2h 08m	✔
Tableau Project - Russo-Ukraine War A Data Analytical Review	1h 06m	✔
Tableau	4h 7m	✔
BI Tools and Tableau Analytics	5h 38m	✔
Business Intelligence with Tableau	5h 43m	✔
Tableau Features Hands-on!	5h 32m	✔
Tableau Practical - Super Store Business Requirements	45m	✔
Analytics using Tableau	9h 28m	✔

MODULE 6: Minitab and MATLAB

Courses	No. of Hours	Certificates
Minitab for Beginners - 2024	1h 15m	✔
Advanced Minitab Training - 2024	4h 39m	✔
Minitab Practical - Impact of Predictors on Response	1h 35m	✔
Statistical Analysis using Minitab - Beginners to Beyond	4h 27m	✔
Minitab GUI and Descriptive Statistics	2h 43m	✔
ANOVA in Minitab	52m	✔
Correlation Techniques in Minitab	2h 18m	✔
Project on Minitab - Regression Modeling	9h 36m	✔
Minitab Predictive Modeling using Excel	55m	✔
MATLAB - Beginners	3h 9m	✔
MATLAB - Intermediate	47m	✔
MATLAB - Advanced	4h 1m	✔

MODULE 7: Database & SQL

Courses	No. of Hours	Certificates
Oracle SQL	17h 32m	✔
Oracle PLSQL	12h 56m	✔
Oracle DBA 1	9h 27m	✔
Machine Learning ZERO to HERO - Hands-on with Tensorflow	13h 38m	✔
Deep Learning ZERO to HERO - Hands-on with Python	11h 17m	✔
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression	2h 07m	✔
Project on R - HR Attrition and Analytics	2h 08m	✔
Logistic Regression using SAS Stat	4h 26m	✔
Linear Regression & Supervised Learning in Python	2h 28m	✔
Logistic Regression & Supervised Machine Learning in Python	2h 6m	✔
Project on R - Card Purchase Prediction	2h 28m	✔
Develop a Movie Recommendation Engine	51m	✔
Random Forest Techniques and R - Employee Attrition Prediction	1h 6m	✔
Predictive Analytics Model for Term Deposit Investment using CART Algorithm	1h 38m	✔
Poisson Regression with SAS Stat	2h 21m	✔
Machine Learning Project using Caret in R	1h 58m	✔
Sales Forecasting using Time Series Analysis in Python	2h 13m	✔

Data Scientist Course – Certificate of Completion

What is Data Science?

Data science is the core of the business organization these days. The role of a data scientist is continuously evolving but if we have to understand the term what is a data scientist then and we can say that these professionals have advanced skills in Analytics and intelligence which can be blended

with modern science methodologies, statistics, math, business knowledge, and machine learning.

Earlier the profession was limited to only technical background people but as the role and the functionality of a data scientist are continuously changing now non-technical background people can also try their hands in this field.

Data scientist professionals possess advanced technical skills and complex problem-solving ability that helps them in modeling the data according to the various requirement of a business organization. In other words, we can say that a data scientist is a professional who holds specialized skills in machine learning, business intelligence, business domain knowledge, scripting language in coding, and data modeling techniques.

Industry Growth Trend

The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]

Average Salary

Average Salary$120,301 per year

The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]

Which Skills will you learn in this Course?

To become a successful data scientist, one needs to have hands-on experience and sound knowledge and command over data modeling, machine learning, scripting languages, and knowledge of the business domain with the use of statistics and mathematics. The Data Science Course in Kolkata covers all these domains in a comprehensive manner that helps in developing a sound career in the data scientist and analytics field. The content is developed in such a way that it covers scripting, machine learning concepts, use of python and R language, data modeling tools, data visualization tools, etc., which are more than enough to gain an over the understanding of data science field.

Pre-requisites

As the course is developed to cater to the needs of both technical and non-technical background students, there is no very complex eligibility for a prerequisite for enrolling in this Data Science Course in Kolkata. As the course is much into the technical side it would be an add on if you have some understanding of languages like Python and R, as this would help in ensuring the smooth transitions during the course. If one has a basic understanding of either python or r then he or she can easily sell through the first block of the Data Science Course in Kolkata nevertheless it is not a mandated prerequisite to have as everything is going to be covered from scratch level.

Target Audience

The one who wishes to pursue his or her career in the field of data science and analytics is the target audience for this Data Science Course in Kolkata. One must have a strong desire to learn and make things happen from his or her side. The target audience is all the professionals who wish to pursue their career in one of the most demanded skills of the 21st century that are data science and Analytics. The only thing which is required from the candidates is continuous learning, a strong will to learn and trust that he or she can pursue a sound career in the data science domain.

Data Science Course in Kolkata – FAQ’s

What career options one can enjoy after completing this data science course?

A candidate who completed this Data Science Course in Kolkata can work ok as a data analyst, business analyst, data scientist, quality analyst, quality engineer, consultant, software engineer, statistician, statistical test analyst, analytics consultant, solution architect, technical architect, search associate, programmer analyst and white range of other options which are available for the data scientist professionals.

Is it possible to work as a tableau developer after completion of this Data Science Course in Kolkata?

Yes, it is completely possible to pursue your career as a tableau developer as it involves hands-on experience and trading on table software from the beginners level to advanced level which can help you in developing your career in the field of tableau development too.

Why should you take up the Data Science course in Kolkata?

India, being one of the top opportunity providers in the domain of data science and analytics is the word’s one of the most favorable destinations for data science and analytics enthusiast.

What is the Data Scientist market trend in Kolkata?

According to the recent employment trends in Kolkata, which states that data science and analytics are some of the most demanding skills and job opportunities are a very huge number. Due to the stiff rise in the demand of data science and analytics people are moving towards this Data Science Course in Kolkata and as the job opportunities are also very high here so Kolkata provides a great option in terms of career and growth in the data science domain.

Sample Preview

Career Benefits

Kolkata provides a great blend of opportunities is it is an education hub and a top destination for investors because of its Rapid growth and diverse culture. Investors are showing great interest in investing in Kolkata as it offers a great pool of talent to The employers at a very optimal cost.

Reviews

Excellent

It was a well-explained course! Easy to understand and practice. Recommended for beginners.

Arjun Gaggar

Data Scientist Certification Course

The data scientist training covers t-distribution, Z statistic, and Central limit theorem with exceptional clarity. It helped me in understanding the concepts with such a depth that I would never forget them now. The examples are highly practical and apt. The parallel execution of formulas in R makes it simple to remember rather than just going through the formulae, this Data Science course explains the underlying concepts first. It is the best course on R-Statistics I have come across so far.
Linked

Abbas Singapurwala

Data Scientist Course

Business Analytics is an excellent course for beginners in both Statistics and R programming. A lot of concepts have been covered from basics. It includes descriptive analysis, regression modeling, time series forecasting. It’s good knowledge if someone does not have any background in these techniques.
Linked

Ankit Tyagi

Very good

Detailed and informative Data Scientist course. covered everything in depth. need to know basic statistics for this Data scientist course. but this will lay a solid ground to become a data analyst. with this course realized how powerful is R software and its possibilities. Loved every bit of the data scientist training and would do more courses from EduCBA

Mudassir Ahmed

Best Professional Development Platform

I have tried a lot of e-portals to have a complete set of curriculum on a specific professional course but did not find any. Thanks to EduCBA for their brilliant initiative to put details of the data scientist course and related topic in a single platform along issuing a course completion certificate……

SANJAY KUMAR KHILAR

Effective Tool for dashboard creation

This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the data scientist training in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked

Patrick

Nice & Refreshing Course

This course on Hadoop and HDFS Basics was nice and refreshing. The instructor has explained all the concepts simply by providing sample examples. If you are completely new to Hadoop and need to learn basics then I recommend you to go for this Data Science course.

DATA SCIENTIST - Specialization | 150 Course Series