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DATA SCIENTIST - Specialization | 150 Course Series

605+ Hours of HD Videos

150 Courses

Verifiable Certificate of Completion

One year access

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Home Data Science Data Science Courses DATA SCIENTIST – Specialization | 150 Course Series

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 Training in Chennai

Course Name Online Data Science Training in Chennai
Deal You get access to all 150 courses, Projects bundle. You do not need to purchase each course separately.
Hours 605+ Video Hours
Core Coverage This Data Scientist course will help you learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and others.
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 each of the 150 courses, Projects
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 Training in Chennai Curriculum


There are many different concepts you will be learning throughout the course. Some main topics are given below.

  • Data Science: In this, you will be given an introduction to data science. This also includes big data, data visualization, data analysis, predictive analytics, descriptive and prescriptive analytics, and pricing analytics, where all concepts are very important to learn to understand deeply about data science and its techniques.
  • Python: In this topic, you will be gaining knowledge of python libraries like Opencv which is a very important library that provides us to use array structures and plotting of data it includes any other libraries like Numpy, Scipy, etc. This also includes the training on python shells and pandas coding in python which is very important and helpful in data science.
  • Machine learning: This is another main and important topic to deal with data science. This topic includes many algorithms that are used to analyze data easily in an efficient time. Some of the important algorithms like regression, KNN, K means, random forest, etc. helps to visualize and organize the data.
  • Other topics: Some other topics are also taught which are useful for the data scientist to know. These topics are taught in brief. Topics like R programming, statistics, algebra, Oracle, SQL, plotting graphs, and building models based on data analytics.
  • MODULE 1: Data Science with Python Essentials Training

    Courses No. of Hours Certificates Details
    Machine Learning with Python 20245h 17m✔
    Machine Learning with Python Case Study - Covid19 Mask Detector2h 05m✔
    Deep Learning: Automatic Image Captioning for Social Media with Tensorflow2h 31m✔
    AI Machine Learning in Python8h 37m✔
    Predictive Analytics and Modeling with Python8h 26m✔
    Matplotlib for Python Data Visualization - Beginners4h 12m✔
    Matplotlib for Python Data Visualization - Intermediate2h 53m✔
    Matplotlib for Python Data Visualization - Advanced6h 37m✔
    Pandas with Python Tutorial5h 42m✔
    NumPy and Pandas Python5h 9m✔
    Pandas Python Case Study - Data Management for Retail Dataset3h 22m✔
    Python Case Study - Sentiment Analysis57m✔
    Data Science with Python4h 14m✔
    Artificial Intelligence with Python - Beginner Level2h 51m✔
    Artificial Intelligence with Python - Intermediate Level4h 2m✔
    AI Artificial Intelligence & Predictive Analysis with Python6h 15m✔
    Video Analytics using OpenCV and Python Shells2h 13m✔
    Machine Learning using Python3h 26m✔
    Statistics Essentials with Python3h 23m✔
    Project on Tensorflow - Implementing Linear Model with Python1h 46m✔
    Project - Data Analytics with Data Exploration Case Study5h 6m✔
    Random Forest Algorithm using Python1h 27m✔
  • MODULE 2: Data Science with R & Python Essentials Training

    Courses No. of Hours Certificates Details
    Seaborn Python - Beginners2h 28m✔
    Seaborn Python - Intermediate1h 18m✔
    Seaborn Python - Advanced1h 56m✔
    PySpark Python - Beginners2h 16m✔
    PySpark Python - Intermediate2h 02m✔
    PySpark Python - Advanced1h 18m✔
    Machine Learning Python Case Study - Diabetes Prediction1h 02m✔
    R Studio UI and R Script Basics4h 13m✔
    R Programming for Data Science | A Complete Courses to Learn5h 7m✔
    Logistic Regression & Supervised Machine Learning with R4h 14m✔
    Decision Trees Modeling using R1h 4m✔
    Project on ML - Churn Prediction Model using R Studio1h 22m✔
    Financial Analytics in R - Beginners3h 53m✔
    Financial Analytics in R - Intermediate1h 28m✔
    Financial Analytics in R - Advanced1h 35m✔
    R for Finance - Beginners to Beyond2h 17m✔
    Comprehensive Course on R3h 54m✔
    Time Series Analysis and Forecasting using R4h 34m✔
    Project - Fraud Analytics using R2h 34m✔
    Project - Marketing Analytics using R and Microsoft Excel2h 9m✔
    Machine Learning with R20h 25m✔
    Case Study - Customer Analytics using Tableau and R2h 7m✔
    Case Study - Pricing Analytics using Tableau and R2h 39m✔
    Business Analytics using R - Hands-on!16h 21m✔
    Project - Market Basket Analysis in R37m✔
    Project - Hypothesis Testing using R3h 6m✔
    Data Visualization with R Shiny - The Fundamentals39m✔
    Data Science with R6h 2m✔
    R Studio Anova Techniques Course2h 18m✔
  • MODULE 3: Data Science with SAS Essentials Training

    Courses No. of Hours Certificates Details
    SAS Business Analytics for Beginners10h 46m✔
    Predictive Analytics & Modeling with SAS9h 19m✔
    Quantitative Finance with SAS3h 29m✔
    SAS Statistics8h 18m✔
    SAS ODS (Output Delivery System)9h 36m✔
    SAS PROC SQL13h 49m✔
    SAS Macros7h 25m✔
    SAS Advanced Analytics12h 22m✔
    SAS Graph2h 1m✔
    SAS DS24h 59m✔
    SAS SQL3h 01m✔
    SAS Practical - Macros5h 5m✔
    SAS Advanced Programming10h 7m✔
    SAS Categorical Data Analysis7h 16m✔
    Certified SAS Base Programmer12h 2m✔
    SAS Features for Starters1h 5m✔
    SAS PROC SQL Features1h 49m✔
  • MODULE 4: Big Data & Hadoop

    Courses No. of Hours Certificates Details
    Big Data and Hadoop Training | Online Hadoop Course2h 2m✔
    Hadoop Architecture and HDFS6h 13m✔
    MapReduce - Beginners3h 01m✔
    MapReduce - Advanced5h 35m✔
    Hive - Beginners2h 47m✔
    Hive - Advanced5h 11m✔
    PIG - Beginners2h 1m✔
    PIG - Advanced2h 13m✔
    NoSQL Fundamentals2h 01m✔
    Mahout3h 5m✔
    Apache Oozie2h 11m✔
    Apache Storm2h 3m✔
    Apache Spark - Beginners1h 38m✔
    Apache Spark - Advanced5h 47m✔
    Splunk Fundamentals8h 33m✔
    Splunk Advanced 01 - Knowledge Objects9h 29m✔
    Splunk Advanced 02 - Administration39h ✔
  • MODULE 5: Learning from Projects & Practicals

    Courses No. of Hours Certificates Details
    Project on Hadoop - Sales Data Analysis42m✔
    Project on Hadoop - Tourism Survey Analysis55m✔
    Project on Hadoop - Faculty Data Management35m✔
    Project on Hadoop - E-Commerce Sales Analysis35m✔
    Project on Hadoop - Salary Analysis49m✔
    Project on Hadoop - Health Survey Analysis using HDFS56m✔
    Project on Hadoop - Traffic Violation Analysis1h 25m✔
    Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m✔
    Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m✔
    Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce53m✔
    Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m✔
    Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m✔
    Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m✔
    Hadoop and HDFS Fundamentals on Cloudera1h 22m✔
    Project on Hadoop - Log Data Analysis1h 32m✔
    SPSS 2024 - Beginners1h 07m✔
    SPSS 2024 - Advanced5h 19m✔
    Advanced SPSS Project: Impact of EMI on Home Loan43m✔
    Advanced SPSS Project: Impact of Total Turnover in Equity Market58m✔
    Advanced SPSS Project: Impact of Trade Data in Equity Market46m✔
    SPSS GUI and Applications1h 13m✔
    SPSS - Correlation Techniques1h 8m✔
    Linear Regression & Supervised Learning with SPSS3h 07m✔
    SPSS - Multiple Regression Modeling2h 34m✔
    Logistic Regression & Supervised Learning using SPSS2h 37m✔
    SPSS - Multinomial Regression2h 2m✔
    SPSS GUI for Statistical Analysis2h ✔
    Tableau Desktop Training 20244h 21m✔
    Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m✔
    Tableau Project - Russo-Ukraine War A Data Analytical Review1h 06m✔
    Tableau4h 7m✔
    BI Tools and Tableau Analytics5h 38m✔
    Business Intelligence with Tableau5h 43m✔
    Tableau Features Hands-on!5h 32m✔
    Tableau Practical - Super Store Business Requirements45m✔
    Analytics using Tableau9h 28m✔
  • MODULE 6: Minitab and MATLAB

    Courses No. of Hours Certificates Details
    Minitab for Beginners - 20241h 15m✔
    Advanced Minitab Training - 20244h 39m✔
    Minitab Practical - Impact of Predictors on Response1h 35m✔
    Statistical Analysis using Minitab - Beginners to Beyond4h 27m✔
    Minitab GUI and Descriptive Statistics2h 43m✔
    ANOVA in Minitab52m✔
    Correlation Techniques in Minitab2h 18m✔
    Project on Minitab - Regression Modeling9h 36m✔
    Minitab Predictive Modeling using Excel55m✔
    MATLAB - Beginners3h 9m✔
    MATLAB - Intermediate47m✔
    MATLAB - Advanced4h 1m✔
  • MODULE 7: Database & SQL

    Courses No. of Hours Certificates Details
    Oracle SQL17h 32m✔
    Oracle PLSQL12h 56m✔
    Oracle DBA 19h 27m✔
    Machine Learning ZERO to HERO - Hands-on with Tensorflow13h 38m✔
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m✔
    Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m✔
    Project on R - HR Attrition and Analytics2h 08m✔
    Logistic Regression using SAS Stat4h 26m✔
    Linear Regression & Supervised Learning in Python2h 28m✔
    Logistic Regression & Supervised Machine Learning in Python2h 6m✔
    Project on R - Card Purchase Prediction2h 28m✔
    Develop a Movie Recommendation Engine51m✔
    Random Forest Techniques and R - Employee Attrition Prediction1h 6m✔
    Predictive Analytics Model for Term Deposit Investment using CART Algorithm1h 38m✔
    Poisson Regression with SAS Stat2h 21m✔
    Machine Learning Project using Caret in R1h 58m✔
    Sales Forecasting using Time Series Analysis in Python2h 13m✔

Data Scientist Course in Chennai – Certificate of Completion

Data Science Training in Chennai

What is Data Science?

Data Science is one of the evolving and important fields in today’s world. Data science is a concept similar to data mining and big data with data analysis, machine learning and statistical methods to easily understand the data. This field is in turn drawn from fields like mathematics and computer science.

In this digitalization world, every second in every domain tons of data is been created and to handle this type of data with evaluating and extracting useful data from these data sets. This job can be done by data scientists, where they are trained with these concepts to be successful and expert professional data scientists.

Data Science training includes understanding the deep knowledge of how to handle huge data in an efficient way using some of the techniques and algorithms. This Data Science Training in Chennai is very necessary to completely handle any kind of data and to tackle any kind of problem faced by analyzing the data.

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 tangible skills will you learn in this course?

  • Machine learning with Scikit-Learn in python.
  • Data science with python libraries Numpy, Pyspark, and pandas.
  • R programming for data science with R studio UI and R scripting.
  • Fundamentals of R shiny for data visualization.
  • Big data and Hadoop training with Hadoop architectures and HDFS.
  • NoSQL fundamentals.
  • Tableau and its features.
  • Correlation techniques and regression techniques like linear regression, logistic regression, and multiple regressing modeling.
  • Matlab, Oracle database with SQL and PLSQL.
  • SAS business analytics with proc SQL features and advanced programming.
  • Overall with hands-on projects for each concept to understand practically.

Pre-requisites

  • Data Scientists have a team from various backgrounds like mathematics, physics, computer science, statistics, etc. But most of them think that it is very necessary to have a bachelor’s or master’s degree to learn data science which is wrong the degree is only when you apply for jobs with higher positions. To be a data scientist the basic concepts of math and statistics like algebra, probability, calculus is required.
  • Programming skills is one of the essential to be a data scientist. Basic concepts of object-oriented programming like C, C++, and java with data science programming tools like Python, R, machine learning, etc. Skills like SQL, PLSQL, Hadoop, Big data with basic knowledge is required.
  • Computer or laptop with an internet connection.

Target Audience

  • Students: Students pursuing or completed with any degree. Students with bachelor’s or master’s degree. Students who want to make a career as a data scientist. Students want to upgrade their knowledge of data science.
  • Professionals: People with not having any background knowledge of data science or from different fields but have some basic knowledge of data science and willing to change their career to data scientists.
  • Beginners: Students or any with a bachelor’s degree or master’s degree in computer science or information technology can also go for this Data Science Training in Chennai who want to be future data scientists.
  • Data Scientists: Data scientists also can take up this Data Science Training in Chennai who wants to upgrade their knowledge in data science concepts with present technologies and new ideas.

FAQ’s


Why should you be a data scientist?

In today’s market data science course is very important for those who want to be a successful data scientist. The data scientist is one of the top-ranking professionals in the world for any analytics organization. Therefore data science course is very scarce and in demand.

Are there any projects given during this Data Science Training in Chennai?

Yes, there are 56 hands-on projects during this entire course. Projects are given for the topics to make you understand well along with practical knowledge. These hands-on projects will later help you out during job-specific projects.

What can I expect from data science training?

As a part of these online training bundles, you will receive the following:

Lifetime training access to online training bundles for registered users.

Certificated for the registered users who have completed 70 % of the training.

Who can take up this data science course?

There are no specific roles. Anyone can take up this course with basic ideas of statistics, mathematics, and data analytics. In this course, we will start from very basics so anyone willing to be data scientists can go for it.

Do I need to keep on practicing the course?

As we all know practice makes a man perfect. But in our course provide you online material for 24 * 7 which you can refer anywhere, anytime. As there are hands-on projects to understand better for each topic, so doing it once properly would not make you go for another time.

Why should you take up a data scientist course in Chennai?

As Chennai is having one of the world-class IT infrastructures and fast emerging as a destination for information technology in India. Chennai is also one of the fastest-growing cities in the IT world.

So there are many opportunities open for future data scientist roles. If you take this Data Science Training in Chennai you will be even exposed to many job roles very quickly along with your training. In Chennai as there are very good companies working on data science like Crayon Data which is one of the top 10 data science companies in India.

What is the data science trend in Chennai?

As we know data science is the most trending and emerging technology in the world, as well as in Chennai too. Chennai is also having a great IT hub in India is also growing with new technologies. It is even trying to have companies like Crayon data for the development of data science in India.

Sample Preview


Career Benefits

    • Career transition to the higher roles: By undergoing this Data Science Training in Chennai you are upgrading yourself to present highly demanding roles like data scientists, data analysts, etc.
    • Empowers the data scientists to be more professionals: Data scientists can also take this training to upgrade themselves to present technologies and other new ideas which can make them more professional and can get deeper with this subject.
    • You can get into with many roles: With this Data Science Training in Chennai, there are many roles that anyone can get into as their career. The roles that they can be eligible for are already discussed above.

Jobs you will be eligible for:

  • Data Analyst
  • Data Scientist
  • QA Engineer.
  • SAS Developer.
  • Quality Analyst.
  • And any other roles.

Reviews


 

Data Science Training in Chennai review 1

Testimonials

Excellent

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

Arjun Gaggar

 

 

Data Science Training in Chennai review 2

Testimonials

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 Science Training in Chennai review 3

Testimonials

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

 

 

Data Science Training in Chennai review 4

Testimonials

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

 

 

Data Science Training in Chennai review 5

Testimonials

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

 

 

Data Science Training in Chennai review 6

Testimonials

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

 

 

Data Science Training in Chennai review 7

Testimonials

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.

Almaamoon rasool abdali

 

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Course Curriculum
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    CoursesNo. of Hours
    Machine Learning with Python 20245h 17m
    Machine Learning with Python Case Study - Covid19 Mask Detector2h 05m
    Deep Learning: Automatic Image Captioning for Social Media with Tensorflow2h 31m
    AI Machine Learning in Python8h 37m
    Predictive Analytics and Modeling with Python8h 26m
    Matplotlib for Python Data Visualization - Beginners4h 12m
    Matplotlib for Python Data Visualization - Intermediate2h 53m
    Matplotlib for Python Data Visualization - Advanced6h 37m
    Pandas with Python Tutorial5h 42m
    NumPy and Pandas Python5h 9m
    Pandas Python Case Study - Data Management for Retail Dataset3h 22m
    Python Case Study - Sentiment Analysis1h 37m
    Data Science with Python4h 14m
    Artificial Intelligence with Python - Beginner Level2h 51m
    Artificial Intelligence with Python - Intermediate Level4h 2m
    AI Artificial Intelligence & Predictive Analysis with Python6h 15m
    Video Analytics using OpenCV and Python Shells2h 13m
    Machine Learning using Python3h 26m
    Statistics Essentials with Python3h 23m
    Project on Tensorflow - Implementing Linear Model with Python1h 46m
    Project - Data Analytics with Data Exploration Case Study5h 6m
    Random Forest Algorithm using Python1h 27m
    Seaborn Python - Beginners2h 28m
    Seaborn Python - Intermediate1h 18m
    Seaborn Python - Advanced1h 56m
    PySpark Python - Beginners2h 16m
    PySpark Python - Intermediate2h 02m
    PySpark Python - Advanced1h 18m
    Machine Learning Python Case Study - Diabetes Prediction1h 02m
    R Studio UI and R Script Basics4h 13m
    R Programming for Data Science | A Complete Courses to Learn5h 7m
    Logistic Regression & Supervised Machine Learning with R4h 14m
    Decision Trees Modeling using R1h 4m
    Project on ML - Churn Prediction Model using R Studio1h 22m
    Financial Analytics in R - Beginners3h 53m
    Financial Analytics in R - Intermediate1h 28m
    Financial Analytics in R - Advanced1h 35m
    R for Finance - Beginners to Beyond2h 17m
    Comprehensive Course on R3h 54m
    Time Series Analysis and Forecasting using R4h 34m
    Project - Fraud Analytics using R2h 34m
    Project - Marketing Analytics using R and Microsoft Excel2h 9m
    Machine Learning with R20h 25m
    Case Study - Customer Analytics using Tableau and R2h 7m
    Case Study - Pricing Analytics using Tableau and R2h 39m
    Business Analytics using R - Hands-on!16h 21m
    Project - Market Basket Analysis in R1h 3m
    Project - Hypothesis Testing using R3h 6m
    Data Visualization with R Shiny - The Fundamentals1h 6m
    Data Science with R6h 2m
    R Studio Anova Techniques Course2h 18m
    SAS Business Analytics for Beginners10h 46m
    Predictive Analytics & Modeling with SAS9h 19m
    Quantitative Finance with SAS3h 29m
    SAS Statistics8h 18m
    SAS ODS (Output Delivery System)9h 36m
    SAS PROC SQL13h 49m
    SAS Macros7h 25m
    SAS Advanced Analytics12h 22m
    SAS Graph2h 1m
    SAS DS24h 59m
    SAS SQL3h 01m
    SAS Practical - Macros5h 5m
    SAS Advanced Programming10h 7m
    SAS Categorical Data Analysis7h 16m
    Certified SAS Base Programmer12h 2m
    SAS Features for Starters1h 5m
    SAS PROC SQL Features1h 49m
    Big Data and Hadoop Training | Online Hadoop Course2h 2m
    Hadoop Architecture and HDFS6h 13m
    MapReduce - Beginners3h 01m
    MapReduce - Advanced5h 35m
    Hive - Beginners2h 47m
    Hive - Advanced5h 11m
    PIG - Beginners2h 1m
    PIG - Advanced2h 13m
    NoSQL Fundamentals2h 01m
    Mahout3h 5m
    Apache Oozie2h 11m
    Apache Storm2h 3m
    Apache Spark - Beginners1h 38m
    Apache Spark - Advanced5h 47m
    Splunk Fundamentals8h 33m
    Splunk Advanced 01 - Knowledge Objects9h 29m
    Splunk Advanced 02 - Administration39h
    Project on Hadoop - Sales Data Analysis1h 12m
    Project on Hadoop - Tourism Survey Analysis1h 33m
    Project on Hadoop - Faculty Data Management0h 58m
    Project on Hadoop - E-Commerce Sales Analysis0h 59m
    Project on Hadoop - Salary Analysis1h 22m
    Project on Hadoop - Health Survey Analysis using HDFS1h 34m
    Project on Hadoop - Traffic Violation Analysis1h 25m
    Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m
    Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m
    Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce1h 29m
    Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m
    Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m
    Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m
    Hadoop and HDFS Fundamentals on Cloudera1h 22m
    Project on Hadoop - Log Data Analysis1h 32m
    SPSS 2024 - Beginners1h 07m
    SPSS 2024 - Advanced5h 19m
    Advanced SPSS Project: Impact of EMI on Home Loan1h 12m
    Advanced SPSS Project: Impact of Total Turnover in Equity Market1h 38m
    Advanced SPSS Project: Impact of Trade Data in Equity Market1h 17m
    SPSS GUI and Applications1h 13m
    SPSS - Correlation Techniques1h 8m
    Linear Regression & Supervised Learning with SPSS3h 07m
    SPSS - Multiple Regression Modeling2h 34m
    Logistic Regression & Supervised Learning using SPSS2h 37m
    SPSS - Multinomial Regression2h 2m
    SPSS GUI for Statistical Analysis2h
    Tableau Desktop Training 20244h 21m
    Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
    Tableau Project - Russo-Ukraine War A Data Analytical Review1h 06m
    Tableau4h 7m
    BI Tools and Tableau Analytics5h 38m
    Business Intelligence with Tableau5h 43m
    Tableau Features Hands-on!5h 32m
    Tableau Practical - Super Store Business Requirements1h 16m
    Analytics using Tableau9h 28m
    Minitab for Beginners - 20241h 15m
    Advanced Minitab Training - 20244h 39m
    Minitab Practical - Impact of Predictors on Response1h 35m
    Statistical Analysis using Minitab - Beginners to Beyond4h 27m
    Minitab GUI and Descriptive Statistics2h 43m
    ANOVA in Minitab1h 27m
    Correlation Techniques in Minitab2h 18m
    Project on Minitab - Regression Modeling9h 36m
    Minitab Predictive Modeling using Excel1h 32m
    MATLAB - Beginners3h 9m
    MATLAB - Intermediate1h 19m
    MATLAB - Advanced4h 1m
    Oracle SQL17h 32m
    Oracle PLSQL12h 56m
    Oracle DBA 19h 27m
    Machine Learning ZERO to HERO - Hands-on with Tensorflow13h 38m
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m
    Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
    Project on R - HR Attrition and Analytics2h 08m
    Logistic Regression using SAS Stat4h 26m
    Linear Regression & Supervised Learning in Python2h 28m
    Logistic Regression & Supervised Machine Learning in Python2h 6m
    Project on R - Card Purchase Prediction2h 28m
    Develop a Movie Recommendation Engine1h 26m
    Random Forest Techniques and R - Employee Attrition Prediction1h 6m
    Predictive Analytics Model for Term Deposit Investment using CART Algorithm1h 38m
    Poisson Regression with SAS Stat2h 21m
    Machine Learning Project using Caret in R1h 58m
    Sales Forecasting using Time Series Analysis in Python2h 13m

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