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Data Science
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Data Science Training

Data Science Training

  • 40+ hours of Instructor-led sessions
  • Beginner to Advanced level
  • Hands-on training
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Modes of Delivery

Key Features

40+ hours of Instructor-led training classes
Interactive hands-on sessions
Master the application of analytical tools and understand the basics of machine learning
Learn advanced tools and techniques such as R programming, Hadoop & Machine Learning implementation with Apache Mahout
Learn to analyse large data sets using advanced data analytical tools
Our data science experts will help students in future implementation of the technologies


Why Data Science?

Data science is much more than just number crunching. It’s all about exploring, analysing and finding the truth. Data Scientists are like story tellers, using data to weave complex yet beautiful stories that ultimately help the organization by giving valuable business insights and communicating effectively with stakeholders.

The Zeolearn advantage

In this fast paced online data science course, we will help you build a solid foundation in data science by helping you master the application of analytical tools and understand the basics of machine learning, including data mining and predictive analytics. With expert guidance from your mentors you will get exposure to real world analytical problems and an experience of how data analysts deal with challenges.

Here’s what you will learn!

  • The need and responsibilities of a data scientist and how they aid in making important business decisions and achieve organizational goals
  • To analyse large data sets using advanced data analytical tools and make data driven decisions
  • Advanced tools and techniques such as R programming, Hadoop and Machine Learning implementation with Apache Mahout

Is this course right for you?

Big Data specialists, business analysts, statisticians, developers, information architects and other professionals who want to get into the field of predictive analysis will find this course useful. 


There are no prerequisites for attending this course but participants with a strong background in mathematics and knowledge of Java will benefit most. It is also desired that participants have core knowledge of Hadoop, R and Mahout.



  • Introduction to Data Science
  • What is a Data Scientist
  • What is Data Science?
  • Problems Solved by Data Science
  • Pandas
  • Dataframes
  • Create a New Dataframe
  • What is Data Wrangling?
  • Acquiring Data
  • Common Data Formats
  • What are Relational Databases?
  • Introduction to Databases Schemas
  • API’s
  • Data in JSON Format
  • How to Access an API efficiently
  • Missing Values
  • Easy Imputation
  • Impute using Linear Regression
  • Tip of the Imputation Iceberg
  • Statistical Rigor
  • Why is Stats Useful?
  • Introduction to Normal Distribution
  • T Test
  • Welch T Test
  • Non-Parametric Tests
  • Non-Normal Data
  • Stats vs. Machine Learning
  • Different Types of Machine Learning
  • Prediction with Regression
  • Cost Function
  • How to Minimize Cost Function
  • Coefficients of Determination
  • Effective Information Visualization
  • Communicating Findings
  • Communicating Findings Well
  • Visual Encodings
  • Perception of Visual Cues
  • Plotting in Python
  • Data Scales
  • Visualizing Time Series Data
  • Big Data and MapReduce
  • Basics of MapReduce
  • Mapper
  • Reducer
  • MapReduce with Subway Data

Frequently Asked Questions

There is data everywhere−and in this data is hidden information and patterns that can provide knowledgeable insights to businesses and research. Data science is basically the informed and systematic extraction of relevant information or knowledge from data. And in order to extract this relevant information, the data must be examined from all angles. This requires specialized knowledge of statistics and good computer science skills. A data scientist is a professional who has this knowledge and hence can make useful predictions based on tons of data that is generated every day. Data analytics is a niche profession and there is much more demand than there is supply. Well qualified and trained data scientists can command lucrative salaries and job positions. Data science training courses such as the one offered by a data science institute such as Zeolearn will give you the training needed to succeed in your career.

  • The responsibilities of a Data Scientist
  • The analysisof Big Data using R, Hadoop and Machine Learning
  • The processes involved in the Data Analysis Life Cycle
  • The use of data formats including XML, CSV and SAS, SPSS
  • To transform data using best practices and tools
  • The implementation of various Data Mining techniques
  • The use of machine learning algorithms in R
  • To analyse data using Hadoop Mappers and Reducers
  • The basics of Apache Mahout
  • To follow best practices in data visualization and optimization techniques

Zeolearn brings you online, mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including the ones on Big Data such as Apache Spark and Scala, Hadoop Administration, and Big Data Analytics using Hadoop which are among the most popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!         

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will use various platforms such as R, Hadoop and Machine Learning on Big Data and learn to perform data analysis with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

You will receive data science certification in the form of a course completion certificate issued by Zeolearn.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Developers, search application users, system administrators, IT managers and architects supporting search or e-commerce applications and technical and business users needing thorough understanding of Solr, will find this course useful.

  • Operating system such as Mac OS X, Windows or Linux
  • Good Text / JavaScript Editor (Notepad++ / SublimeText / Brackets / Atom )
  • A modern web browser such as Chrome

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