E&ICT Academy, IIT Guwahati
Certificate in Data Analytics with E&ICT Academy, IIT Guwahati
3 Months | Live Instructor Led | Weekend Online
Master Data Analytics with India's #1 Data Science program.
Get Dual Certification From
Talk to Learning Advisor
70631-19228
9 AM - 9 PM IST
Admission Deadline : 30 Jul 2023
E&ICT Academy IIT Guwahati
Live Classes
3 Months
Next Cohort Coming Soon
Career Services by Accredian
Program Overview
Key Highlights:
13 Modules - Python, Statistics & Data Analytics
Learn from the top industry professionals and expert sessions by IIT Guwahati Faculty
Duration: 3 months | Weekend Online
Certification from E&ICT, IIT Guwahati
Live Instructor Led Classes
Daily Doubt Clearing
Term Projects & Capstone Projects
No Cost EMI upto 12 Months
Placement Support & Assistance
1:1 Career Mentorship Sessions
Who Should Join?
Engineers, Project Managers, Consultants & Non-technical backgrounds (Teachers, Sales & Marketing) & anyone interested in upskilling in Data Science.
Job Opportunities
Analyst, Data Analyst, Business Analyst, Product Analyst, Associate Data Scientist, Decision Scientist.
Want to Know More?
Every individual from various backgrounds must learn
Analytics to outshine in the competive world today!
- Suchit Majumdar, Chief Data Science Mentor, Accredian.
Program Syllabus
Module 1 : Data Science Fundamentals
-
Thought Experiment: Data Science from a layman’s perspective
-
Brief intro to Data Science
-
How companies use Data Science
-
Overview of Data Science project lifecycle
-
Walkthrough of data types and data challenges
Module 2 : Recap: Python for Data Science
-
In-class quiz for Python Basics
-
Common Python concepts and sample questions
-
Variable, Inbuilt datatypes, functions, modules and Packages
-
File operations and error handling
Module 3 : Recap: Statistics for Data Science
-
In-class quiz for Descriptive Statistics
-
Common charts used
-
In-class quiz for Inferential Statistics
-
Probability, Central Limit Theorem,Normal Distribution & Hypothesis testing
Module 4 : Data Operations with Numpy
-
Introduction to Numpy Arrays
-
How to apply mathematical operations in Numpy
-
Array manipulation using Numpy
-
Broadcast values across Arrays using Numpy
Module 5 : Data Manipulation with Pandas
-
Types of Data Structures in Pandas
-
Clean data using Pandas
-
Manipulating data in Pandas
-
How to deal with missing values
-
Hands-on: Implement Numpy arrays and Pandas Dataframes
Module 6 : Introduction to Data Visualization
-
Brief Introduction to Data Visualization
-
Advantages & Applications of Data Visualization.
-
Univariate Statistical Charts - Line Charts, Area Charts, Bar Charts, Histograms
-
Bivariate Statistical Charts - Scatter Plots, Box Plots
-
Multivariate Statistical Charts - Heat Maps, Pair Plots
Module 7 : Data Visualization using Matplotlib
-
Introduction to Python’s Data Visualization library - Matplotlib
-
Basic usage of Matplotlib
-
Using matplotlib to plot statistical charts
-
Labelling the plots using matplotlib
Module 8 : Hands-on Pandas for Rapid Visualization
-
Using Pandas for Quick Data Visualization
-
Plotting Statistical Charts Using Pandas
-
Combining Pandas & Matplotlib to Improve the Visualizations
-
Case Study: Analysis of Mcdonald's Dataset Through Visualizations
Module 9 : Seaborn for Data Visualization
-
Seaborn Data Visualization library-Introduction
-
Importing and setting up seaborn
-
Using seaborn to plot different statistical charts
-
Adding details to seaborn charts using matplotlib
Module 10 : Introduction to Exploratory Data Analysis
-
Introduction to Exploratory Data Analysis (EDA) steps
-
Purpose of EDA
-
Advantages of EDA
-
Applications of EDA
Module 11 : EDA Framework Deep Dive
-
Framework for Scientific Exploration
-
Case study: Perform EDA to explore survival using the Titanic dataset
-
Apply the EDA framework on a real-world dataset
-
Generate insights and create a story around them.
Module 12 : Scientific Exploration of Industry Data - I & II
-
Case study: Perform EDA to explore Online Retail dataset
-
Implement the EDA steps and framework in the retail domain.
-
Case study: Analyze mental health of IT professionals
-
Implement the EDA steps and framework on healthcare in industries.
Module 13 : Student Presentations & Insight Delivery
-
Student hosted project delivery sessions.
-
Sessions coordinated by the instructor
-
Storytelling using generated insights.
-
Best-practices for Data Visualization and Insight Delivery.
Minor Capstone Project
-
Caretel Telecom: One of the leading telecom players, understands that customizing offering is very important for its business to stay competitive. Currently, Caretel Telecom is seeking to leverage behavioral data from more than 60% of the 50 million mobile devices active daily in India to help its clients better understand & interact with their audiences.
In this consulting assignment, Accredians are expected to build a dashboard to understand user's demographic characteristics based on their mobile usage, geolocation, & mobile device properties. Doing so will help millions of developers & brand advertisers around the world pursue data-driven marketing efforts which are relevant to their users & cater to their preferences.
Programming Languages & Tools
Completion Certificate
Live Projects and Case Studies
10+ Topic wise Assignments
7+ Tools and Packages
Faculty & Mentors
Deepesh,
IIM-Calcutta
Nishkam,
Paypal
Amit,
Paytm
Gaurav,
IIT Guwahati
Lavi,
Subhodeep,
Jio
Neelmani,
Gojek
Work on World Class Projects
Flight Passengers Satisfaction Prediction
Predicting the satisfaction level of flight passengers.
Avocado Price Prediction
Predicting the future price of avocadoes based on historical data.
Share your Achievements
with Your Professional Network
Globally Recognized Certifications
Unique Certification ID
Lifetime Validity
10000+
Professionals Upskilled in
Data Science & AI.
45%
Average Salary Hike after Career Transition.
2-in-1
Get Certified from both
Accredian and IIT
Guwahati
Our Students Work at
Recent Career Transitions
GCD
GCDAI
GCDAI
GCDAI
GCD
GCDAI
GCD
GCDAI
Aditya Gundu
Sr Engineer Consultant (Software Dev)
Sr Engineer Consultant (DS)
Add-on Modules
Power BI Course
Learn Power BI to render decision making easier with amazing dashboards.
SQL Course
Learn SQL in order to handle structured data in relational databases..
Career Assistance Features
1.
Data Science Career Launchpad: A flagship event to nominate the best Data Science students and honor them with awards
-
Resume Workshop
:Enables Professionals to create a stellar resume
-
GitHub Workshop
:Assists in preparing a wonderful Data Science portfolio
-
LinkedIn Workshop
:Encourages Professionals to create a Job Role specific profile
-
Featured Interview
:Students get an opportunity to share their journey and be featured on Accredian website
-
Data Science Leader Awards
:Only the chosen Participants get an opportunity to have an experience of Mock Interview sessions
2.
Career Resources: A Repository containing references of various useful resources pertaining to Job Role, Interview preparation and Brand building.
3.
Career focused webinars: A platform to learn, interact and acquire knowledge relevant to Data Science Job Roles, Portfolio building and cracking Interviews.
4.
One-On-One with Career Coach: Personalized sessions to help you in analyzing strengths and weaknesses and assisting you in shortlisting the right Job Roles and mapping the Career Roadmap.
5.
Job Portal Access: An easily accessible portal to hunt the right job opportunities based on specific skill- sets.
Beyond the Program Advantage
Learning Resources & Technical Support
Dedicated resource center with 1000+ resources to ease your data journey. All 7 day of week technical support to answer all your technical queries.
Industry Immersion with Top Data Science Leaders
Monthly Speaker Connect
Your learning isn’t limited to the weekly sessions led by faculty but at Accredian we rope in top Data Science leaders across the world to help you gain not only practical insights but also prep you for cut throat competition.
International Summits
Every six months, we usually organize Data Science Summits inviting leaders from one entire geography. Most recent one being SEA - South East Asia Conference.
Placement Assistance
-
Carefully crafted program such as career launchpad which
will help the candidates to polish their resume & GitHub
profiles.
-
Participating in Mock interviews & get job ready Job.
-
Dedicate job opening portal to find your perfect role.
Lifelong Community Support
Life-time access to the resources, content and community support to clear your doubts.
Admission Process
STEP 1
Fill the Application Form
Apply by filling a simple online application form.
STEP 2
Eligiblility Test
Attempting the eligibility test to get shortlisted for the admission procedure.
STEP 3
Start Learning
Get your offer letter and access to your dashboard and begin your journey with starter kits.
Program Fee
Program Fee
INR 60,000+GST
*No cost EMI options available.
Student Reviews
Frequently Asked Questions
Program Pre-Requisites
1. Do I need to know Programming & Math before enrolling to a program?
Background in Programming & Maths is helpful but not mandatory.
2. What is the minimum system configuration required?
Any latest processor (i3/i5/i7) with 2.0GHz clock speed and RAM 4GB
(required), 8GB(recommended).
Syllabus & Projects Covered
1. How many projects can I expect to work on?
in the Certificate in Data Analytics, You're Expected to Work on 1 Mini Capstone Project Mandatorily. Beyond These, We Have a Repository of 10+ Projects from Various Domains on Which You Can Work.
2. What's the difference between Term Project & Capstone Project?
erm Projects Are Individual Projects Specific to a Particular Term and will Be Shared Post Completion of Every Term. While Capstone Projects Are Closest to Real World Data Science Project, Where One Has to Apply Different Concepts Learnt in the Program.
3. What all topics are covered in the Certificate in Data Analytics?
Download our latest program brochure &
curriculum.
Time Commitment
1. How much time I've to spend?
Daily 30 mins of prep time is required. You can choose to practice, read
or watch videos. And on weekends one must attend 2 hours of live classes
on both Saturday & Sunday.
2. What is the duration of the program?
Every Term is for 4-5 Weeks Approximately. the Overall Duration of Certificate in Data Analytics is 3 Months.
Why Accredian
1. How's the Certificate in Data Analytics different?
Three Things Make this Program World Class 1. Progressive Learning Architecture: Accredian's Proprietary Progressive Learning Architecture Ensures That Irrespective of the Background You Are From, You will Attain Mastery in a Step-by-step Way 2. Concept-to-context®️ Learning Framework: Accredian's Concept-to-context®️ Framework Ensures That You Are Learning Every Data Science Concept in Context of Real World Industry Problems 3. Accredian Career Center: Accredian's Mission is to Groom Data Leaders of Tomorrow. Accredian Career Center Helps You Launch a Data Science Career with 100% Confidence.
2. Tell me more about Career Assistance?
Accredian Offers Career Assistance Through Data Science Career Launchpad. the Student Gets Hands-on Experience As a Data Leader with Rigorous Resume and Github Building Sessions. You will Also Learn to Create a Strong Linkedin Presence and Develop Top Notch Interview Skills.
3. What's the refund policy?
Go through our Student
Policy link.
Have more queries
related to career or program?
Call us +91 70631-19228 (or)
Schedule chat with our experts
E&ICT Academy, IIT Guwahati
Certificate in Data Analytics with E&ICT Academy, IIT Guwahati
3 Months | Live Instructor Led | Weekend Online
Talk to Learning Advisor
70631-19228
9 AM - 9 PM IST
Admission Deadline : 30 Jul 2023
E&ICT Academy
IIT Guwahati
Live Classes
6 Months
Next Cohort
Coming Soon
Career Services
by Accredian
Program Overview
Key Highlights:
13 Modules - Python, Statistics & Data Analytics
Learn from the top industry professionals and expert sessions by IIT Guwahati Faculty
Duration: 3 Months| Weekend Online
Certification from EICT, IIT Guwahati
Live Instructor Led Classes
Daily Doubt Clearing
Term projects & Capstone projects
No Cost EMI upto 12 Months
Placement Support & Assistance
1:1 Career Mentorship Sessions
Who Should Join?
Engineers, Project Managers, Consultants & Non-technical backgrounds (Teachers, Sales & Marketing) & anyone interested in upskilling in Data Science.
Job Opportunities
Analyst, Data Analyst, Business Analyst, Product Analyst, Associate Data Scientist, Decision Scientist.
Want to Know More?
Every individual from various backgrounds must learn
Analytics to outshine in the competive world today!
- Suchit Majumdar, Chief Data Science Mentor, Accredian.
Program Syllabus
13 Modules
(3 Months)
40+ Hours of
Live Classes
10+ Career
Sessions
Module 1 : Data Science Fundamentals
Thought Experiment: Data Science from a layman’s perspective
Brief intro to Data Science
How companies use Data Science
Overview of Data Science project lifecycle
Walkthrough of data types and data challenges
Module 2 : Recap: Python for Data Science
In-class quiz for Python Basics
Common Python concepts and sample questions
Variable, Inbuilt datatypes, functions, modules and Packages
File operations and error handling
Module 3 : Recap: Statistics for Data Science
In-class quiz for Descriptive Statistics
Common charts used
In-class quiz for Inferential Statistics
Probability, Central Limit Theorem,Normal Distribution & Hypothesis testing
Module 4 : Data Operations with Numpy
Introduction to Numpy Arrays
How to apply mathematical operations in Numpy
Array manipulation using Numpy
Broadcast values across Arrays using Numpy
Module 5 : Data Manipulation with Pandas
Types of Data Structures in Pandas
Clean data using Pandas
Manipulating data in Pandas
How to deal with missing values
Hands-on: Implement Numpy arrays and Pandas Dataframes
Module 6 : Introduction to Data Visualization
Brief Introduction to Data Visualization
Advantages & Applications of Data Visualization.
Univariate Statistical Charts - Line Charts, Area Charts, Bar Charts, Histograms
Bivariate Statistical Charts - Scatter Plots, Box Plots
Multivariate Statistical Charts - Heat Maps, Pair Plots
Module 7 : Data Visualization using Matplotlib
Introduction to Python’s Data Visualization library - Matplotlib
Basic usage of Matplotlib
Using matplotlib to plot statistical charts
Labelling the plots using matplotlib
Module 8 : Hands-on Pandas for Rapid Visualization
Using Pandas for Quick Data Visualization
Plotting Statistical Charts Using Pandas
Combining Pandas & Matplotlib to Improve the Visualizations
Case Study: Analysis of Mcdonald's Dataset Through Visualizations
Module 9 : Seaborn for Data Visualization
Seaborn Data Visualization library-Introduction
Importing and setting up seaborn
Using seaborn to plot different statistical charts
Adding details to seaborn charts using matplotlib
Module 10 : LIntroduction to Exploratory Data Analysis
Introduction to Exploratory Data Analysis (EDA) steps
Purpose of EDA
Advantages of EDA
Applications of EDA
Module 11 : EDA Framework Deep Dive
Framework for Scientific Exploration
Case study: Perform EDA to explore survival using the Titanic dataset
Apply the EDA framework on a real-world dataset
Generate insights and create a story around them.
Module 12 : Scientific Exploration of Industry Data - I & II
Case study: Perform EDA to explore Online Retail dataset
Implement the EDA steps and framework in the retail domain
Case study: Analyze mental health of IT professionals
Implement the EDA steps and framework on healthcare in industries
Module 13 : Student Presentations & Insight Delivery
Student hosted project delivery sessions
Sessions coordinated by the instructor
Storytelling using generated insights
Best-practices for Data Visualization and Insight Delivery
Minor Capstone Project
Caretel Telecom: One of the leading telecom players, understands that customizing offering is very important for its business to stay competitive. Currently, Caretel Telecom is seeking to leverage behavioral data from more than 60% of the 50 million mobile devices active daily in India to help its clients better understand & interact with their audiences.
In this consulting assignment, Accredians are expected to build a dashboard to understand user's demographic characteristics based on their mobile usage, geolocation, & mobile device properties. Doing so will help millions of developers & brand advertisers around the world pursue data-driven marketing efforts which are relevant to their users & cater to their preferences.
Programming Languages & Tools
Completion Certificate
Live Projects and Case Studies
10 + Topic wise Assignments
7 + Tools and Packages
Faculty & Mentors
Work on World Class Projects
Share your Achievements
with Your Professional Network
Globally recognized certifications
Unique certification ID
Lifetime validity
10000+
Professionals Upskilled in
Data Science & AI.
45%
Average Salary Hike after Career Transition.
2-in-1
Get Certified from both Accredian and IIT Guwahati
Recent Career Transitions
Add-on Modules
Power BI Course
Learn Power BI to render decision making easier with amazing dashboards.
SQL Course
Learn SQL in order to handle structured data in relational databases..
Career Assistance Features
1.
Data Science Career Launchpad: A flagship event to nominate the best Data Science students and honor them with awards
-
Resume Workshop
:Enables Professionals to create a stellar resume
-
GitHub Workshop
:Assists in preparing a wonderful Data Science portfolio
-
LinkedIn Workshop
:Encourages Professionals to create a Job Role specific profile
-
Featured Interview
:Students get an opportunity to share their journey and be featured on INSAID website
-
Data Science Leader Awards
:Only the chosen Participants get an opportunity to have an experience of Mock Interview sessions
2.
Career Resources: A Repository containing references of various useful resources pertaining to Job Role, Interview preparation and Brand building.
3.
Career focused webinars: A platform to learn, interact and acquire knowledge relevant to Data Science Job Roles, Portfolio building and cracking Interviews.
4.
One-On-One with Career Coach: Personalized sessions to help you in analyzing strengths and weaknesses and assisting you in shortlisting the right Job Roles and mapping the Career Roadmap.
5.
Job Portal Access: An easily accessible portal to hunt the right job opportunities based on specific skill- sets.
Beyond the Program Advantage
Learning Resources & Technical Support
Dedicated resource center with 1000+ resources to ease your data journey.All 7 day of week technical support to answer all your technical queries.
Industry Immersion with Top Data Science Leaders
Monthly Speaker Connect
Your learning isn’t limited to the weekly sessions led by faculty but at Accredian we rope in top Data Science leaders across the world to help you gain not only practical insights but also prep you for cut throat competition.
International Summits
Every six months, we usually organize Data Science Summits inviting leaders from one entire geography. Most recent one being SEA - South East Asia Conference.
Placement Assistance
-
Carefully crafted program such as career launchpad which will help the candidates to polish their resume & GitHub profiles.
-
Participating in Mock interviews & get job ready Job.
-
Dedicate job opening portal to find your perfect role.
Lifelong Community Support
Life-time access to the resources, content and community support to clear your doubts.
Admission Process
STEP 1
Fill the Application Form
Apply by filling a simple online application form.
STEP 2
Eligiblility Test
Attempting the eligibility test to get shortlisted for the admission procedure.
STEP 3
Start Learning
Get your offer letter and access to your dashboard and begin your journey with starter kits.
Program Fee
Program Fee
INR 60,000+GST
*No cost EMI options available.
Student Reviews
Frequently Asked Questions
Program Pre-Requisites
1. Do I need to know Programming & Math before enrolling to a program?
Background in Programming & Maths is helpful but not mandatory.
2. What is the minimum system configuration required?
Any latest processor (i3/i5/i7) with 2.0GHz clock speed and RAM 4GB (required), 8GB(recommended).
Syllabus & Projects Covered
1. How many projects can I expect to work on?
In the Advanced Certificate in Data Science & ML, you're expected to work on 12 Term Projects, 1 Mini Capstone Project & 1 Capstone Project & 1 AI Capstone Project mandatorily. Beyond these, we have a repository of 100+ projects from various domains on which you can work.
2. What's the difference between Term Project & Capstone Project? (This course is on Module basis)
Term Projects are individual projects specific to a particular term and will be shared post completion of every term. While Capstone Projects are closest to real world Data Science Project, where one has to apply different concepts learnt in the program.
3. What all topics are covered in the Advanced Certificate in Data Science & ML?
Download our latest program brochure &
curriculum.
Time Commitment
1. How much time I've to spend?
Daily 30 mins of prep time is required. You can choose to practice, read or watch videos. And on weekends one must attend 2 hours of live classes on both Saturday & Sunday.
2. What is the duration of the program?
Every term is for 4-5 weeks approximately. The overall duration of Certificate in Data Analytics is 3 months.
Why Accredian
1. How's the Certificate in Data Analytics different?
Three things make this program world class 1. Progressive Learning Architecture: Accredian's proprietary Progressive Learning Architecture ensures that irrespective of the background you are from, you will attain mastery in a step-by-step way
2. Concept-to-Context®️ Learning Framework: Accredian's Concept-to-Context®️ framework ensures that you are learning every Data Science concept in context of real world industry problems
3. Accredian Career Center: Accredian's mission is to groom Data leaders of tomorrow. Accredian Career Center helps you launch a Data Science career with 100% confidence.
2. Concept-to-Context®️ Learning Framework: Accredian's Concept-to-Context®️ framework ensures that you are learning every Data Science concept in context of real world industry problems
3. Accredian Career Center: Accredian's mission is to groom Data leaders of tomorrow. Accredian Career Center helps you launch a Data Science career with 100% confidence.
2. Tell me more about Career Assistance?
Accredian offers career assistance through Data Science Career Launchpad. The student gets hands-on experience as a Data Leader with rigorous resume and GitHub building sessions. You will also learn to create a strong LinkedIn presence and develop top notch interview skills.
3. What's the refund policy?
Go through our Student Policy link.
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