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Become a StackRoute certifed Data Analytics Analyst & Specialist

Professional Program in Data Analytics

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Level 1: Dual qualification program to transform college students into Data Analytics Experts

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Level 2: Become Day-1 Job ready by upgrading your DA Skills*

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Dual qualification for college students

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Online Mentor-Led

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Day 1 Job-Ready

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StackRoute Certification

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Job Assistance

with Level 2

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Registration Closes

1st August 2022

Registration closes on

01st August 2022

DAYS
HRS
MIN
SEC

*Terms and Conditions Apply. Refer FAQs.

ACCELERATE YOUR CAREER WITH PLACEMENT ASSISTANCE

Top Skills You Will Learn
Top Skills You Will Learn

Data Analysis, Data Visualization, RDBMS, SQL, Python, Tableau

Job Opportunities
Job Opportunities

Prepares learners for Data Analytics entry-level job roles such as Data Analyst etc.

Who Is This Program For?
Who Is This Program For?

Level 1: Final year student of B.Tech./BE, B.Sc. (IT/Comp Sc/Maths/Stats), B.Com. (IT/Comp Sc/Maths/Stats), BA (Eco/Maths). Level 2: Students who've successfully completed graduation and Level 1.

Minimum Eligibility
Minimum Eligibility

Level 1: Final year students with ≥50% in X, XII, and Undergrad for the completed study. Level 2: Successful completion of Level 1 Program and graduation with ≥50% in X, XII, and Undergrad for the completed study.

* T&C Apply

Be Placement-Ready With Our 6-Step Professional Grooming Process

Placement Readiness Placement Readiness - mobile

Program Overview

Core Tech Competencies

  • Data Analysis & Visualization using Excel
  • Analytics using SQL
  • Statistics & Data Visualization using Python
  • Exploratory Data Analysis using Tableau
  • Programming using Python

Professional Competencies

  • Self-learning
  • Inter-personal Skills
  • Productive Communications with Clients
  • Listening Skills
  • Presentation Skills
  • Working in teams
  • Remote work culture 
  • Remote work practice
  • Corporate work culture and  ethics
  • Working with abstract requirements

Program Curriculum

Part 1

22 weeks

Course 1: Data Analytics Using Excel

Perform Basic Data Analysis Using Excel

Perform Basic Data Analysis Using Excel

Measure Central Tendencies using Statistical Techniques

Measure Central Tendencies using Statistical Techniques

Data Visualization using Excel

Data Visualization using Excel

Measuring the Spread and Correlation of Data

Measuring the Spread and Correlation of Data


Course 2: Analytics using SQL

Creating Database Objects & Populate data

Creating Database Objects & Populate data

Query data using SQL

Query data using SQL

Retrieve data from multiple Tables

Retrieve data from multiple Tables


Course 3: Introduction to Programming using Python

Working with the Python Interpreter

Working with the Python Interpreter

Decision making with conditional statements

Decision making with conditional statements

Iteractive statements and list operations

Iteractive statements and list operations

Looping over data structures

Looping over data structures

Writing modular programs in Python

Writing modular programs in Python


Course 4: Python for Data Science

Creating & manipulating arrays (1D & 2D) using NumPy

Creating & manipulating arrays (1D & 2D) using NumPy

Creating & Manipulating Series and Data Frames

Creating & Manipulating Series and Data Frames

Manipulating Data Frames

Manipulating Data Frames

Advanced Data Frame Manipulation operations

Advanced Data Frame Manipulation operations


Part 2

18 weeks

Course 5: Statistics & Data Visualization using Python

Descriptive analysis using Python

Descriptive analysis using Python

Prediction using Probability

Prediction using Probability

Sampling techniques & Distribution

Sampling techniques & Distribution

Discrete Probability Distribution

Discrete Probability Distribution

Continuous probability distribution

Continuous probability distribution

Hypothesis Testing using Z Test

Hypothesis Testing using Z Test

Hypothesis Testing using T-Test

Hypothesis Testing using T-Test


Course 6: Exploratory Data Analysis

EDA for Bank customer churn analysis

EDA for Bank customer churn analysis

EDA for IBM employee attrition

EDA for IBM employee attrition

EDA case study 1

EDA case study 1


Course 7: EDA case study 1

Exploring Tableau

Exploring Tableau

Creating Visuals Using Tableau

Creating Visuals Using Tableau

Exploring Time Series Data

Exploring Time Series Data

Visualization Spatial and Relational Data

Visualization Spatial and Relational Data

Visualize Data Distribution and Create Dashboard

Visualize Data Distribution and Create Dashboard


Course 8: Exploratory Data Analysis using Tableau-2

Design Advanced Dashboard

Design Advanced Dashboard

Exploratory Data Analysis Through Visualization

Exploratory Data Analysis Through Visualization


Apply Now

Part 1

4 weeks

Course 10: Project

Perform EDA

Perform EDA

Visualize & present insights

Visualize & present insights


Apply Now

Tools

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Enterprise Customers

StackRoute works with Tier 1 IT companies, product companies, and Global In-house Centers as a talent transformation partner to deep skill their resources at scale.

Certification

Designed to build Data Analytics core competencies & skills for entry-level job roles. With Capstone project, learners master skills through real world assignments. Through this program learners also get equipped with engineering & behavioral competencies.

Become a StackRoute Certified Data Analytics Professional and join the acclaimed NIIT-StackRoute alumni network.

Apply Now

Industry Testimonials

As consumers change digital behaviors faster than companies can adapt, clients look to us for agility, speed and scale. Ergo, pairing the right people with the right skills is critical, particularly Pi-Shaped people who can work on multiple platforms...

Rajan Kohli
President, Wipro Digital

StackRoute is a key partner for us in building a first-of-its-kind training program to meet the digital transformation needs of our customers. Through this program, we are creating a cadre of world-class full-stack programmers able to join multi-disc...

Reynolds Alex
Global Head, Delivery & Digital Academy, Wipro Digital

As CGI partners with clients across industries and geographies to support their digital transformation agenda, we are pleased to be working with StackRoute to continually deep skill our consultants as part of our commitment to help our clients in the...

George Mattackal
Asia Pacific Global Delivery Centers of Excellence, CGI

Traditional classroom training for fresh college joiners made it difficult to gauge effectiveness both during execution & upon completion. StackRoute’s immersive program not only enabled us gauge effectiveness but also measure skill progress, which f...

Anu Thomas
Practice Head - Java and Microsoft Competency, Sony India

Employees who graduated from your Immersive Program have easily integrated into our product development initiatives. The highly skilled coaches consistently created an environment that fostered learning, challenging boundaries, and excellence.

Jennifer Mecherippady
VP, Asia Pacific Solutions Delivery Center, CGI

Learner Success Stories

Shivam Tomar
Software Developer, R Systems
Abhishek Gupta
Software Developer, CGI

I'd like to thank NIIT StackRoute for training us in such a conducive environment. I would like to thank my faculty for having my back. This institute made me a better Full-Stack developer by giving me a chance to work on a project with a real-world ...

Jandhyam Venkata Ramana
Associate Technology, BNED LoudCloud Systems LTD

By the end of the PG program in Full Stack, I was able to successfully develop and deploy a complete product. I also got placed in CGI with a very good package as a fresher. If you're looking for a program in Full-Stack with job assurity then NIIT St...

Mohd. Shujjat Siddique
Software Developer, CGI
Rohith Krishna
Software Developer, NIIT LTD
Saurabh Chaudhary
Software Developer, Allstate Solutions P. Ltd.
Meher Supreeth K
Software Developer, CGI

Our Pedagogy

Pedagogy

Mastery Learning

Achieve mastery with our individualized and group-based learning pedagogy

Outcome Oriented

Become day 1 project ready

Practitioner Designed

Solve practitioner designed, non-trivial challenges based on real-life case studies

Experiential Apprenticeship

Go through hands-on, experiential learning with targeted intervention

Integrated Problem Solving

Practice tough, real-world problem-solving exercises for deep skilling

Capstone projects

Perform EDA & learn to Visualize & present insights

CAREER SUPPORT

Complete Grooming Process: A 360-degree process that ensures 6 types of quality checks before you start interviewing

Profile Matching: We guide you in matching your profile with appropriate job openings

Individual Grooming: Get personalized help on grooming, interview skills, resume building etc.

Company-Specific Preparation: Get company-specific guidance & access to a repository of interview questions

Interview Mentoring: Receive constructive feedback to improve your interview skills

Salary Negotiation: Learn how to negotiate with firms for the best salary as per industry standards

1

Fill application form

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2

Complete Screening Process

3

Proceed to payment

View Payment plans
NIIT program batch

Batch starts

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Time

Program Fee

Rs.75000

Excluding GST @ 18%

NIIT program benefit

Level 1 Fee

Frequently Asked Questions

  • Level 1: Final year student of B.Tech./BE, B.Sc. (IT/Comp Sc/Maths/Stats), B.Com. (IT/Comp Sc/Maths/Stats), BA (Eco/Maths) with ≥50% in X, XII, and UnderGrad for the completed study who are keen to embark on a fulfilling career in Data Analytics.
  • Level 2: Successful completion of Level 1 Program and graduated with B.Tech./BE, B.Sc. (IT/Comp Sc/Maths/Stats), B.Com. (IT/Comp Sc/Maths/Stats), BA (Eco/Maths) with ≥50% in X, XII, and UnderGrad for the completed study.
  • Data Analytics Using Excel
  • Analytics using SQL
  • Introduction to Programming using Python
  • Python for Data Science
  • Python for Data Science
  • Exploratory Data Analysis
  • Exploratory Data Analysis using Tableau-1
  • Exploratory Data Analysis using Tableau-2
  • Project- Performing EDA, Visualizing & presenting insights
  • Level 1: Final year student of B.Tech./BE, B.Sc. (IT/Comp Sc/Maths/Stats), B.Com. (IT/Comp Sc/Maths/Stats), BA (Eco/Maths) with ≥50% in X, XII, and UnderGrad for the completed study .
  • Level 2: Successful completion of Level 1 Program and graduated with B.Tech./BE, B.Sc. (IT/Comp Sc/Maths/Stats), B.Com. (IT/Comp Sc/Maths/Stats), BA (Eco/Maths) with ≥50% in X, XII, and UnderGrad for the completed study
  • Successful completion of Level 2 Program at NIIT with ≥70% , ≥50% in X, XII, and Graduation and ≤ 25 Years to be eligible for Placement Assistance

On successful completion of the program, you will receive the following certificates:

  • Level 1 : StackRoute Certificate Title - Professional Program in Data Analytics Analyst
  • Level 2 : StackRoute Certificate Title - Advanced Program in Data Analytics Specialist
  • Level 1 Only: The Level 1 of the program will enable you to develop understanding and build the essential competencies, such as the knowledge and skills to perform tasks pertaining to data analysis, data visualization, working with RDBMS, programming using Python and Exploratory Data Analysis.
  • Level 1 + Level 2: You will be equipped with the deeper skills and competencies to embark on a Data Analytics career. You will also be eligible for the career preparation and services pertaining to entry-level Data Analytics roles* such as Data Analyst.

*The roles may vary from organization to organization. NIIT has no binding on the nomenclature of the roles mentioned.

Level 1: 40 Weeks.

Weekly Schedule: 12 week schedule of live learning, self-study assignments and mentor led doubt clearing sessions.

4 Hours live online classes + 4 Hours recommended self-study + 2 hours dedicated online class for doubt clarification + 4 hours to complete and submit assignments.

 

Program Schedule

Day

Time

Activity type

Learning Activities

1

2 hours

Synchronised Online Class

Concept session

2,3

2 hours

Self-study

(recommended)

Recommended self-study time to attain full mastery, through practice assignments, learning consolidation, and concept quiz.

4

2 hours

Synchronised Online Class

Synchronised online class to review practice assignments and debrief(s) & brief on the challenge

5

2 hours

Synchronised Online Session (optional)

Doubt clarification session

4,5,6

4 hour

Self-study

(recommended)

Recommended self-study to complete and submit assignments.

 

Level 2 - 4 weeks in full time mode (8 hours each day) OR 8 weeks in part-time mode (4 hours each day).

 

ANY QUERIES? Connect with us

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