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Reinvent Your Career with Online Data Science Training


4.3      |    500+ Subscribers  
  •  Live training sessions
  •  Practical training in Data Science tools
  •  No prior technical knowledge needed
  •  Assured value for money

Why Should You Take Online Data Science Course?

#1

Jobs are projected in next 1 year.

$180,000

One of the highest average salaries across all.

jobs

Most trending offers in the market.

87%

Companies have invested in Data Science by 2018.

Salary Trend

 A Few Compelling Facts

Data Science offers a powerful approach to making discoveries. By uniting aspects of computer science, statistics, and visualization, Data Science can turn the vast amounts of data generated by digital age into new knowledge. The proper guidance is given by our Data Science training experts helping students to earn certifications.

 Future of Data Science

The trend followed by Data Science is expected to accelerate in the coming years as data from all the sources grows. In academic research, we would see an increasingly large number of traditional disciplines producing new sub-disciplines. In industry, we would see Data Science transforming everything from healthcare to media.

 Job Market

Industry certified and professional Data Scientist trainers would help you gain unbeatable skill sets that would let you become proficient in Data Science. According to the sources, there are approximately 215,000 openings in Data Science. Data Scientists has been rated the best job profile in the US with a median base salary around $110,000.

. How will it impact your career ?

Best Industry Recruiters: Data Science Top Customers and Partners

Data Science Training

Our well-defined learning path for Data Science promises:

"Unlimited job options for certified Data science professionals and get hired by leading MNCs worldwide successfully"

Our Reviews

Practical training in Data Science tools

"Develop, Understand and Broaden your practical skills with our training program."

We aim at making you an industry master and not theory master, therefore we teach you practical working of R, NoSQL, SAS, and Pig. This makes you a better candidate for hiring.

Assignments Oriented Teaching

"Practise makes a man perfect and we help you prove it right."

At JanBask Training we don't believe in only theoretical knowledge, we provide you with enough opportunities to learn practical aspects of things to make you industry and job ready.

Case Studies based Data Science training

"Case Studies based interactive learning that makes you aware of the industry."

Imbibe the importance of Data Science with help of live discussions on revolutionary case studies in the field of Data Science such as DeutscherFussball Bund, Hoaglin Bank etc.

Live sessions on Hadoop and Spark Python

"Hands-on training in Data Science platforms combined with theoretical concepts."

Learn the real-time working of the Data Science platforms such as Hadoop, Spark etc by getting trained in Data Mining and Manipulation.

Certifications Made Easy

"Earning a certification opens the door to countless economic opportunities for you."

Data Science course syllabus is prepared after a careful consideration of all the aspects required for your accreditation that would make your certification exams easy.

Anytime Expert Assistance

"Consult an expert anytime in your course niche for any query big or small."

Got any doubt? Sort it right away don't wait for the next session. You can talk to an expert whenever you have got a doubt so that you don’t forget your query.

Data Science Training- Course Objectives

  • Our aim is to provide you with a holistic Data Science training that will help you in landing your dream job.
  • We aim to provide you with practical training covering all the levels (Basic to Advance) of the Data Science platforms such as Pig, Hadoop, Spark etc.
  • We also ensure that the curriculum is prepared in accordance with the subjects and other aspects of the certifications such as Cloudera, EMS, Coursera etc.
  • Learn R programming, Data mining machine learning with R, data visualization etc. Live Sessions, Live Coding with Mentors, Case Studies & Assignments, Capstone Projects etc,
  • Learn algorithms such as Linear Regression, Naive Bayes Classifiers, Logistic Regression, Decision Tree, Artificial Neural Networks and much more.

Skills you will learn?

Learn Python, machine-learning, deep-learning, pre-updated latest advancements and a whole lot things associated with Data Science. Learn about basic statistics that will make your job as a Data Scientist very easy and effective. We help you learn about various algorithms such as Random Forest method, Support Vector Machine method etc.
With the help of collaborative assignments with your instructors, you learn about many practical scenarios with respect to the industry that may cause you trouble during your job.
This is the biggest advantage that you get with us as you get the chance of understanding real-world use-cases as well as the scenarios along with a chance to apply your theoretical knowledge in practice.

How can JanBask Training Live sessions for Data Science help you to grow your career?

For Beginners:

  • At the beginning level, you would be made familiar with Data Science basics to make your base stronger and acquire the necessary skills required to learn Data Science program online.
  • Believe in delivering Practical knowledge content well combined with theoretical concepts that bring the most out of the Data Science training course.
  • Learn the basics of R programming, machine-learning, deep-learning, AI networks etc.
  • You also get to learn to create dummy variables, creating simple algorithms etc.

At Advanced Stage:

  • Brushing up the basic concepts of Data Science before you start with the advanced training.
  • Stepping ahead you would learn Hadoop & Spark Overview, Python programming, R programming concepts, Data inputting, Manipulation, Basic Statistic, Mining, Visualization etc. and also get hands-on experience with various Data Science concepts.
  • Learn about elimination methods, transforming independent variables, use test-case to build robust models, navigate SQL model etc.
  • With the successful completion of Data science course and certification courses online, you can apply for various Data scientist roles and get noticed by leading IT companies.

Learners who should take this course

Since our course does not envisage any prior knowledge of anything, in particular, anyone can take the course. However, the course would really benefit the following type of learners-

  • Any IT student,
  • Any student pursuing any degree in commerce field,
  • IT professionals,
  • Anyone enthused by data mining,
  • Individuals looking to build a career in App Building
  • System administrators
  • Developers

Online Data Science Certification- Exams and Procedure

To become a Certified Data Scientist, you are required to fulfil the following criteria:

  • You should have completed at least one project that is provided in the course.
  • Your project will be evaluated by our panel of instructors.
  • Your project will be evaluated by our panel of instructors.
  • Complete 85% of your online data science course.
  • It is compulsory that you fulfil both the criteria required for certification ie-
    • completion of any one project, and
    • passing the online exam with minimum score of 60% to become a certified Data Scientist.

Program RoadMap

Program Syllabus

Data Science Introduction

  • What Data Science is and Why Data Scientists are in demand
  • Foundation of Data Science, overview to Data science
  • Data Science motivating, Data Mining, and Data Analysis
  • Introduction to Analytics, Types of Analytics, and Analytics Methodology
  • Difference between Business Intelligence and Data Science
  • Analytics Terminology, Analytics Tools, Analytics vs Data Science
  • Overview to R, and Big Data, Hadoop, Spark and Machine Learning
  • Lifecycle Probability, Analytics Project Lifecycle

Hadoop and Spark Overview

  • Overview Big Data and Hadoop
  • Hadoop Cluster Architecture
  • Map Reduce Concepts, Advanced Map Reduce Concepts
  • Hadoop 2.0 & YARN
  • PIG, Module 7, HIVE, HBASE,Module-9, Module-11, and SQOOP
  • Overview to Spark, Apache Spark , and Spark Core Architecture
  • Spark Internals, and Spark Streaming

Python Learning

  • Getting Started with Python
  • Sequences and File Operations
  • Deep Dive – Functions Sorting Errors and Exception Handling
  • Regular Expressionist’s Packages and Object Oriented Programming in Python
  • Debugging, Databases and Project Skeletons
  • Machine Learning Using Python, Hadoop and Python
  • Supervised and Unsupervised learning

Intro to R Programming

  • Origin of R, Interface of R,R coding Practices
  • Business Analytics, Analytics concepts
  • The importance of R in analytics Language community and eco-system
  • R Downloading and Installing R
  • Other packages, Perform basic R operations
  • Types of object in R-lists, metrics, array, frames
  • Usage of IDE R Studio and various GUI

Data Inputting in R Data Types

  • Data Types, Data Objects, Data Structures
  • Creating a vector and vector operations
  • Reading tabular data files, Reading from csv files
  • Initializing a data frame, Writing data, and Sub-setting methods
  • Selecting data frame cols by position and name

Data Manipulation in R

  • Appending data to a vector
  • Various phases of Data Cleaning, Data Cleaning Techniques
  • Functions used in Inspection, Uses of functions involved
  • Use-cases for Data Cleaning using R
  • Combining multiple vectors, and Merging data frames
  • If condition, While conditions and repeat loop
  • Data transformation, Control structures, and Nested Loops

Basic Statistics in R

  • Descriptive Statistics Introduction to Advanced Data Analytics
  • Statistical inferences for various Business problems
  • Types of Variables, measures of central tendency and dispersion
  • Variable Distributions and Probability Distributions
  • Normal Distribution and Properties
  • Computing basic statistics, Comparing means of two samples
  • Summarizing Data, Data Munging Basics

Data Mining Machine learning with R

  • Machine learning and various machine learning techniques
  • Data Mining, Text Mining, and Text analytic Process
  • Sentiment Analysis, Statistical Analysis, and Cluster Analysis using R-Rattle
  • Predictive Modeling using Decision Trees
  • Supervised learning, Un- Supervised learning, Reinforcement learning
  • Neural Network,Support Vector machine
  • Evaluating & Deploying Models ,Evaluating performance of Model on Validation data
  • ROC, Sensitivity, Specificity, Lift charts, Error Matrix
  • Deploying models using Score options
  • Opening and Saving models using Rattle
  • Analytics in Excel, Data Preparation and Data Exploration in Excel, and Network Analysis using NodeXL

Data Visualization in R

  • Elements of Data Visualization, Data Visualization & Graphical functions in R
  • Creating a bar chart, dot plot, scatter plot, pie chart
  • Creating a histogram and box plot
  • Plotting with base graphics, Lattice graphics, and Other plotting functions
  • Customizing Graphical parameters to improvise the plots
  • Plotting with Plotting and coloring in R
  • Infographics vs Data Visualization
  • Various GUIs, and Spatial Analysis

Project & Certification

  • Hands on practice with mini project
  • Study material for practice
  • Certification guidance for Data Science
  • Cloudera Certified Professional: Data Scientist (CCP: DS)
  • EMC Data Science Associate
  • Certification of Professional Achievement in Data Sciences
  • Coursera Johns Hopkins Data Science Certification.
  • INFORMS Certified Analytics Professional (CAP)
  • Practice and Sample MCQs on Data Science certification preparation

Upcoming Batches

Starting Duration Price  
Mon - Fri
6 Weeks
USD 799
Mon - Fri
6 Weeks
USD 799
Mon - Fri
6 Weeks
USD 799

FAQs - How to become a successful Data Scientist?

Where should I expect the location of this course?

All Our IT and programming courses are on the web. There are no confinements as for your physical presence. We have Data Science learners spread across the world coming from the following cities of USA and India- Bangaluru, Chennai, Delhi, HyderabadMumbai, Canada, Chicago,  Los Angeles, New York, San Francisco, Washington D.C and many more.

What can I expect from Data Science training program?

Go through various concepts of Data Science in depth and grow your career prospects too..

Get Data science certification on successful completion of the program. 

Are there any pre-requisites to learn Data science program online?

No, there are no pre-requisites to learn Data Science online still if you have little technical knowledge then it can be an added advantage for you. e.

How can I access the learning material for Data science course online?

As soon as you enrol in the program, you will get access to LMS where you can check personalized content, attend live sessions, presentation etc. The effective content delivery throughout the program will surely help you to become a successful data scientist in future.. 

Do the Live sessions for Data Science course are interactive?

Yes, our real-time live classes are highly interactive and you can discuss with the instructors personally to clear your doubts anytime. Instructors are the working professionals who have .

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