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Data Science Course in Kolkata (85 Courses, 67+ Projects)
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Python Data Scientist Courses (18 Courses)
Python Data Scientist Projects (6 Projects)
R Programming Data Scientist Courses (12 Courses)
R Programming Data Scientist Projects (11 Projects)
SAS Data Scientist Courses (9 Courses)
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What you get in this Data Science Course in Kolkata?
Online Classes
Technical Support
Mobile App Access
Case Studies
About Data Science Course in Kolkata
Course | No. of Hours | |
---|---|---|
Machine Learning with Python 2022 | 5h 15m | |
Project on Machine Learning - Covid19 Mask Detector | 2h 05m | |
Machine Learning Project - Auto Image Captioning for Social Media | 2h 23m | |
Machine Learning with SciKit-Learn in Python | 8h 37m | |
Machine Learning Python Case Study - Predictive Modeling | 8h 27m | |
Matplotlib for Python Developers - Beginners | 4h 12m | |
Matplotlib for Python Developers - Intermediate | 2h 52m | |
Matplotlib for Python Developers - Advanced | 6h 37m | |
Pandas with Python Tutorial | 5h 47m | |
NumPy and Pandas Python | 5h 01m | |
Pandas Python Case Study - Data Management for Retail Dataset | 3h 28m | |
Python Case Study - Sentiment Analysis | 1h 06m | |
Data Science with Python | 4h 14m | |
Artificial Intelligence with Python - Beginner Level | 2h 49m | |
Artificial Intelligence with Python - Intermediate Level | 4h 36m | |
AI Artificial Intelligence 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 7m | |
Project on ML - Random Forest Algorithm | 1h 29m | |
Seaborn Python - Beginners | 2h 28m | |
Seaborn Python - Intermediate | 1h 18m | |
Seaborn Python - Advanced | 1h 56m | |
PySpark Python - Beginners | 2h 3m | |
PySpark Python - Intermediate | 2h 05m | |
PySpark Python - Advanced | 1h 14m | |
Machine Learning Python Case Study - Diabetes Prediction | 1h 03m | |
R Studio UI and R Script Basics | 4h 9m | |
R Programming for Data Science | A Complete Courses to Learn | 5h 7m | |
R Practical - Logistic Regression with R | 4h 18m | |
Project - Decision Tree Modeling using R | 1h 44m | |
Project on ML - Churn Prediction Model using R Studio | 1h 22m | |
Financial Analytics in R - Beginners | 3h 5m | |
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 | |
Project on R - Forecasting using R | 4h 34m | |
Project - Fraud Analytics using R & Microsoft Excel | 2h 34m | |
Project - Marketing Analytics using R and Microsoft Excel | 2h 9m | |
Machine Learning with R | 20h 28m | |
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 | |
SAS Business Analytics for Beginners | 10h 42m | |
Predictive Modeling with SAS Enterprise Miner | 9h 21m | |
Quantitative Finance with SAS | 3h 29m | |
SAS Statistics | 8h 18m | |
SAS ODS (Output Delivery System) | 9h 08m | |
SAS PROC SQL | 13h 49m | |
SAS Macros | 7h 38m | |
SAS Advanced Analytics | 12h 34m | |
SAS Graph | 2h 1m | |
SAS DS2 | 5h 2m | |
SAS SQL | 3h 03m | |
SAS Practical - Macros | 5h 12m | |
SAS Advanced Programming | 11h 24m | |
SAS Categorical Data Analysis | 7h 26m | |
Certified SAS Base Programmer | 12h 2m | |
SAS Features for Starters | 1h 5m | |
SAS PROC SQL Features | 1h 53m | |
Big Data and Hadoop Training | Online Hadoop Course | 2h 3m | |
Hadoop Architecture and HDFS | 6h 13m | |
MapReduce - Beginners | 3h 34m | |
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 51m | |
Apache Oozie | 2h 13m | |
Apache Flume | 20m | |
Apache Storm | 2h 4m | |
Apache Avro | 27m | |
Apache Spark - Beginners | 1h 5m | |
Apache Spark - Advanced | 6h 14m | |
Splunk Fundamentals | 8h 33m | |
Splunk Advanced 01 - Knowledge Objects | 9h 29m | |
Splunk Advanced 02 - Administration | 39h | |
Project on Hadoop - Sales Data Analysis | 47m | |
Project on Hadoop - Tourism Survey Analysis | 53m | |
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 2022 - Beginners | 1h 05m | |
SPSS 2022 - Advanced | 5h 22m | |
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 | |
SPSS - Linear Regression Modeling | 3h 08m | |
SPSS - Multiple Regression Modeling | 2h 34m | |
SPSS - Logistic Regression | 2h 01m | |
SPSS - Multinomial Regression | 2h 2m | |
SPSS GUI for Statistical Analysis | 2h | |
Tableau Desktop Training 2022 | 4h 12m | |
Tableau Project-Creating Dashboard and Stories For Financial Markets | 2h 08m | |
Tableau Project - Russo-Ukraine War A Data Analytical Review | 1h 02m | |
Tableau | 4h 7m | |
BI Tools and Tableau Analytics | 5h 38m | |
Business Intelligence with Tableau | 5h 43m | |
Tableau Features Hands-on! | 5h 47m | |
Tableau Practical - Super Store Business Requirements | 45m | |
Analytics using Tableau | 9h 29m | |
Minitab for Beginners - 2022 | 1h 12m | |
Advanced Minitab Training - 2022 | 4h 39m | |
Minitab Practical - Impact of Predictors on Response | 1h 38m | |
Statistical Analysis using Minitab - Beginners to Beyond | 4h 27m | |
Minitab GUI and Descriptive Statistics | 2h 43m | |
ANOVA in Minitab | 53m | |
Correlation Techniques in Minitab | 2h 21m | |
Project on Minitab - Regression Modeling | 9h 54m | |
Minitab Predictive Modeling using Excel | 55m | |
MATLAB - Beginners | 2h 58m | |
MATLAB - Intermediate | 47m | |
MATLAB - Advanced | 4h 1m | |
Oracle SQL | 17h 32m | |
Oracle PLSQL | 13h 2m | |
Oracle DATABASE Admin DBA 1 Course | 9h 27m | |
Machine Learning with Tensorflow | 13h 29m | |
Hands-on Deep Learning Training | 10h 8m | |
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | |
Project on R - HR Attrition and Analytics | 2h 43m | |
Logistic Regression using SAS Stat | 4h 28m | |
Linear Regression in Python | 2h 31m | |
Python Data Science Case Study - Predicting Survival of Titanic Passengers | 2h 6m | |
Project on R - Card Purchase Prediction | 2h 28m | |
Machine Learning Python Case Study - Develop Movie Recommendation Engine | 51m | |
R Practical - Employee Attrition Prediction using Random Forest Technique and R | 2h 2m | |
Project on Term Deposit Prediction using Logistic Regression CART Algorithm | 1h 38m | |
Poisson Regression with SAS Stat | 2h 26m | |
Machine Learning Project using Caret in R | 1h 58m | |
Time Series Analysis in Python - Sales Forecasting | 2h 12m |
Course Name | Online Data Science Course in Kolkata |
Deal | You get access to all videos for the lifetime |
Hours | 660+ 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 each85 course, 67 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.
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
[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.
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Career Benefits
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- It provides ample of opportunities in the field of Data Analytics business intelligence and data science in both large scale and medium to small scale industries. Kolkata which is rich and famous in its culture is the capital of West Bengal and offers a great platform to do all the data science enthusiasts as it has a large number of employer bases in the City.
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.
Linked
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
Linked
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……
Linked
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.
Linked
Almaamoon rasool abdali