Data Science Training

Gangboard Offers Best Data Science online training with most experienced Trainers. Become Master in Data Science Concepts like statistics, Machine Learning, Hypothesis testing, Algorithm, analytics Using Python, R, SAS and Excel with our Practical Classes. We Guarantee for your Data Science Online Training Success with Certification. We focused on 100% Practical and Certification Oriented Data Science Online Course with Placements for our Students. Most Of Our Trainers are currently working as data scientist with 10+ Years industry Experienced. Our Data Science Online Course Syllabus will help you to know basic to advanced level techniques in Data Science/Analytics. Enroll for Data Science Online Course with Gangboard and get extensive knowledge on data science with Placements.
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3374 Learners
35 Hours
15 Hours
Big Data
365 Days
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Online Classroom
Attend our Instructor Led Online Virtual Classroom
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About Course

This Data Science Online Training helps you specialize in the skill set required to become a data scientist. The Data Science Online Course uses techniques and theories from the fields’ of mathematics, statistics, information science, and computer science and includes detailed learning of aspects of data, namely, analytics, exploration, acquisition, visualization, transformation, evaluation and so on. The Data Science Online Training will also help you become an expert in a data science project life cycle and the statistical methods used. The Data Science Online Course also provides in-depth knowledge of data science programming language, R and Python.

This Data Science course gives you a clear understanding about work in Statistical Analytics, Hypothesis Testing ,Machine Learning With Python, R ,SAS & Excel With Macros. We are covering basics of Data mining, Hadoop in R, Statistics, Twitter API in R. In advanced we are helping to deep understanding of Machine Learning Algorithm with Python and R.

This course is taught hands-on, you learn by doing.

At end of this training, you will be able to,

  • Thorough knowledge of data transformation tools, data visualization, and optimization
  • Thorough knowledge of R language
  • Exposure to real-life diverse data sets
  • In-depth knowledge of statistical concepts
  • Creating user defined package in R
  • Automation of any data and publish in R itself
  • Able to analyse big data
  • Competent to work in data mining, Machine learning and statistics

If you are looking for a challenging career in the field of business analysis that includes statistics, computer science, and analytics, then this Data Science Online training is the best choice. Data Science enables you to add value to the business by using the data properly. We live in a data-driven world. Hence, data scientists are a must for every organization. They are a lot in demand, however, are limited in number. That is the reason why Data Scientists are one of the best paying jobs currently. This Data Science Online Course is a job/placement oriented training and we also provide 100% placement assistance.

Before Starting Data Science Training we need to know the roles and responsibilities of Data scientists. Data scientists are often working for generating questions. This brings out turning an unknown business or product problem into a data question or get to know what questions one can ask about a solid data set. A Data Scientist's pursuit is similar to that of a Data Analyst's to find actionable insights that are key growth to company and decision-making. However, a Data Scientist action part is needed when a company's data exceeds a certain level that requires advanced skills to work in such an unstructured data to identify queries and point out the necessary information. One of the top-notch skills, a Data Scientist also needs strong storytelling and visualization skills to share insights with peers across the company.

Data Scientist responsibility are machine reaching, more advanced statistics, data cleaning, and processing, data mining, predictive, running queries and find out questions, flourish prototypes, proof of concepts, algorithms, and custom analysis. Invent and build new dataset processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality. For data analysis, R is a clear winner. Not only because of R is pointedly for statistical computing, but also because there are a number of packages have been creating for each domain by statistician and publish in CRAN and GitHub. In addition, data scientists are expected to build tools like a dashboard to automate their work to improve their efficiency time.

Anyone with a love for statistics and analysis can go for the Data Science Online Training Program. However, the Data Science Online Course is highly recommended for the following:

  • IT professionals
  • Software developers
  • Data and business analysis
  • Statisticians
  • Information Architects

Data Science Training will help you build a challenging and well-paying career. You are recruited as a Data Scientist after completing the Data Science Training. It helps you enhance your understanding and analysis of data. Data Science Training also provides you with an evaluation of real-life, industry-based projects in the domains of healthcare, retail, insurance, and so on.

There are no prerequisites for the Data Science Online Course. However, love for mathematics, data and basic knowledge of R are recommended.

Data Science Training adds the following to your skill set, to name a few:

  • Analyzing the available data
  • Working on different data formats
  • Understanding statistical concepts
  • Learning and using clustering methods
  • Understanding the responsibilities of a Data Scientist

Knowledge of programming is essential for a Data Science career and must be chosen based on the assigned task.

With the data science online course with Gangboard you can expect to learn concepts from live sessions conducted by industry experts. A professional looking portfolio with the project code and video that can be shared with the recruiter. All our online sessions are recorded and access is granted to the enrolled student to review any of the topics in the data science online course/training. Trainers at Gangboard have decades of experience as a full-time industry architect. Our projects provide you with the experience of real case studies helping you solve problems in the real world. 24/7 access to our portal and a dedicated support team to clear up any queries.

Data science Training will be suitable for,

  • Data Scientist
  • Data/Web analyst
  • Statisticians
  • Hadoop Professionals who want to learn R and ML techniques

Gangboard is one of the leading platforms for data science certification and training. The course prepares you to become an adept data scientist. During the course, you will learn everything there is to know about data science from the beginner level to the most advanced. Our data science course includes materials and lectures explained in Laymen;s language, which makes the course desirable for beginners as well as professionals. Using analytical tools such as Python and R, you will learn to master the skill set of a data scientist. The data science training will provide extensive depth in analytical techniques with the help of real-life projects using the Python language. Once you have successfully completed the data science certification, you proceed towards developing your portfolio in which you learn to implement the knowledge gained.

These portfolios can be used to demonstrate your superiority and knowledge as a data scientist during the interview process. We provide a highly intuitive data science online course/training that will empower you to learn at your own speed. Professionals can take advantage of this course to excel in their career and attain higher designations in their organization.

This training will be happen for 20 hours. If you opt for weekend classes both Saturday and Sunday you will be having approximately 2 hours 30 mins in scheduled time of the batch you chose. If you opt of weekdays classes all Monday to Friday, you need to spend at-least 90mins.

Introduction to Data Science

Data science is a theory of dealing with huge amounts of complex data or information and uses methodologies in statistics and computation to interpret and come to a decision. In simple words, we study a large amount of data, find a correlation or trend and make a decision.
To know What is Data Science? refer this blog.

To become a data scientist, knowledge of the following skills is essential:

  • Computer and statistics
  • R programming language
  • Coding
  • Database
  • Computation Framework
  • Machine Learning

As data science deals with huge amounts of data, following are a few places where they are used the most:

  • Searches
  • Advertisements
  • Recommendations
  • Face and voice recognition
  • Travel planning

With huge amounts of data floating all around, it is important to keep it simple and easy to understand. This helps you to make improvements where and when needed. Data Science helps us make better and quicker decisions. Hence, data science is important.
Learn Data Science - Free Data Science Tutorial.

Big data is the large volume of data or information revolving around the world on the internet whereas data science is a method to deal with this humungous amount of data using the concepts of mathematics, framework, statistics and so on.

A data scientist does statistical analysis and develops Machine Learning systems. They make decisions based on data. However, a data analyst comes up with technical solutions to problems as per business needs.
To know the Difference Between Data Science and Data Analytics refer this blog.

A data engineer is responsible for managing big data. They integrate data from various resources. However, a data scientist uses this big data and infers solutions for business. In short, data engineers make the base for the data scientist to work on.

The responsibilities of a data engineer and a data scientist overlap. One creates the infrastructure and architecture for data generation and the other performs analysis on the generated data. But, data science is definitely the future of IT. You can find data science in every field, right from retail to e-commerce. Also, data scientists get paid is really well.

Data Science Syllabus

During the data science online course, you will master several machine learning concepts like the Decision Tree, Random Forest, Gradient Boosting, Boosted Trees K-mean Clustering, and Naïve Bayes using Python. Gangboard has two types of online course available that the student can choose from – one to one training and online classroom. A student can choose from the two courses depending on their requirement. The price for the one to one curse is the cheapest in the world, yet the tutors are of very high quality.

Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Overview

Understanding R data structure

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Cbind,Rbind, attach and detach functions in R
  • Factors
  • Getting a subset of Data
  • Missing values
  • Converting between vector types

Importing data

  • Reading Tabular Data files
  • Reading CSV files
  • Importing data from excel
  • Loading and storing data with clipboard
  • Accessing database
  • Saving in R data
  • Loading R data objects
  • Writing data to file
  • Writing text and output from analyses to file

Manipulating Data

  • Selecting rows/observations
  • Rounding Number
  • Creating string from variable
  • Search and Replace a string or Number
  • Selecting columns/fields
  • Merging data
  • Relabeling the column names
  • Data sorting
  • Data aggregation
  • Finding and removing duplicate records

Using functions in R

  • Apply Function Family
  • Commonly used Mathematical Functions
  • Commonly used Summary Functions
  • Commonly used String Functions
  • User defined functions
  • local and global variable
  • Working with dates

R Programming

  • While loop
  • If loop
  • For loop
  • Arithmetic operations

Charts and Plots

  • Box plot
  • Histogram
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs
  • Cover all the current trending packages for Graphs

Machine Learning Algorithm

  • Sentiment analysis with Machine learning
  • C 5.0
  • Support vector Machines
  • K Means
  • Random Forest
  • Naïve Bayes algorithm


  • Correlation
  • Linear Regression
  • Non Linear Regression
  • Predictive time series forecasting
  • K means clustering
  • P value
  • Find outlier
  • Neural Network
  • Error Measure

Leading Topics

  • Overture of R Shiny
  • What is Hadoop
  • Integration of Hadoop in R
  • Data Mining using R
  • Clinical research preface in R
  • API in R (Twitter and Facebook)
  • Word Cloud in R

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
19 Jul 2019 17 Aug 2019 (09:30 PM - 12:00 AM) Fri,Sat
20 Jul 2019 17 Aug 2019 (09:30 AM - 12:00 PM) Sat,Sun
22 Jul 2019 19 Aug 2019 (09:30 PM - 11:00 PM) Mon-Fri
23 Jul 2019 20 Aug 2019 (09:30 AM - 11:00 AM) Tue-Sat
23 Jul 2019 20 Aug 2019 (09:30 AM - 11:00 AM) Tue-Sat

Data Science Certification

At end of our Data Science course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from GangBoard) will verify and issue Data Science Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.

Data Science Job Opportunities

After completion of the Data Science Course you may get the following jobs:

· Data Scientists: Understand the statistical and mathematical models, and apply it to the data.

· Data Analyst: Analyze data and create reports for other people to understand.

· Data Engineer: Handle large amounts of data using software engineering and programming skills

A data scientist collects a large amount of data, cleans it for analysis. He/She interprets the data using tools and methods like statistics, programming and so on, for solving business problems. Then, the interpreted data is converted to visualizations by the data scientist and the result is communicated to the business.

Like any other profession, the salary of a data scientist also varies depending on his/her experience. The average salary of a data scientist is Rs. 11 lacs per annum.

An entry level data scientist makes Rs. 6.5-10.5 lacs per annum. Start-ups pay more as compared to established organizations.

Following is the list of top companies hiring data science professionals:

  • Accenture
  • Walmart
  • Amazon
  • Capgemini 
  • Fidelity
  • Amdocs
  • Infosys
  • Microsoft
  • Grofers
  • GE
  • HP
  • IBM

Data Science is a fantastic career option for basic reasons like the demand and the pay. Data Scientists are in huge demand these days because of the huge amount of data that revolves around and also because of the demand-supply ratio. Also, it is one of the highest paying jobs in IT these days.
To know Data Science Career Opportunities refer this blog.

To become a Data Scientist you would need expertise in the following:
  • Programming language R
  • Analytical tools like SAS
  • Data analytics and statistical packages
  • Big Data, Hadoop and Spark
  • Visualization and reporting tools

We provide a job oriented live online Data Science Training to help you acquire the required skills to become a data scientist.

Data Science Training Reviews


Comprehensive of required software will be publish in your LMS for installation. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

Perhaps it may happen . We will assist you by providing recorded session of what you missed in your LMS. If you deficit you can appear in live batches for that topics those you missed

Stupendous expert in analytics field who understands the learner constraints and bring out in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

 Don’t need any predecessor knowledge to get into R but aware of basic statistics is an added advantage.

Basically >2GB RAM will be fine for installing either LAMP stack or WAMP stack. Even if you have MAC there is MAMP stack available for free.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

A student enrolled with Gangboard will start from the very basics of data science and progress into more advanced concepts of the data science course. Some of the things you can expect to learn during the data science training.

  • Introduction and importance of data science
  • Data acquisition and lifecycle
  • Tools used in experimentation, evaluation, and deployment of projects
  • Algorithms used in machine learning
  • Using clusters for segmentation and predictive analytics
  • Hadoop integration with R
  • Fundamentals of Big Data
  • Roles and responsibilities of a data scientist
  • Projects on the data structure, data mining, and data manipulation.

Data science is a new field that has advanced from analytics; however, due to the immense advantage that a business derives from this branch of science, data science will be one of the most high profile jobs in the years to come. According to the Harvard Business Review, data science is the job of the future. It is estimated that the global big data market will touch a staggering $122 billion by 2025. In 2018, there was a shortage of 1.9 million big data analysts in the US alone. This is a highly lucrative job and the right time for anyone looking to make a future as a data scientist.

If you are good or like mathematics, you are eligible for this course. The data science training is suitable for professionals in big data, business analysis, business intelligence, information architects, developers, and statisticians.

We are providing Data Science online training, One-to-One training with the help of experts. Our learners and trainers are frequently coming from different countries like USA, India, UK, Australia, New Zealand, Canada, and UAE. To specify in cities London, Bangalore, California, New York, Pune, Mumbai, Chennai, New Delhi, San Francisco, New Jersey, Texas, Florida, Kolkata, Gurgaon, Berlin and Hyderabad among many.

If you are good or like mathematics, you are eligible for this course. The data science training is suitable for professionals in big data, business analysis, business intelligence, information architects, developers, and statisticians.

If you are looking for Data Science Online Training Please Contact us through +91-9791273737 / +91-9791237373. Or you can share your quires through Estimated turnaround time will be 24 hours for emails.

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