Beginner level program
Certificate in Data Science Foundation Program
3 Months | Live Instructor Led | Weekend Online
Master Data Analytics with India's #1 Data Science program.
Designed by Mentors From
4.9/5
(1682+ ratings)
10000+
enrolled professionals
Talk to Learning Advisor
70631-19228
9 AM - 9 PM IST
Admission Deadline : 30 Jul 2023
45%
Average Salary Hike
500+
Career Transitions
10/10
Placement Assistance
Program Overview
Key Highlights:
13 Module - Python, Statistics & Data Analytics
Duration: 3 Months | Weekend Online
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 and Applications of Data Visualization.
Univariate statistical charts
Bivariate statistical charts
Multivariate statistical charts
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
Understanding role of product management
Defining product vision & strategy
Identifying key stakeholders & managing expectations
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.
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
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
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)
Beyond the Program Advantage
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.
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 PDS - Pacific Data Summit.
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
Schedule Call with Learning Advisor
To discuss career transition and end objectives.
STEP 2
Apply for Scholarship
Apply for scholarship upto 50% on the entire program fee.
STEP 3
Start Learning
Get 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?
A. 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 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. And the overall Certificate in Data Analytics Program duration is 3 months.
Why Accredian
1. How's the Certificate in Data Analytics Program program 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
Beginner level program
Certificate in Data Science Foundation Program
3 Months | Live Instructor Led | Weekend Online
Talk to Learning Advisor
70631-19228
9 AM - 9 PM IST
Admission Deadline : 30 Jul 2023
45%
Average Salary Hike
500+
Career Transitions
10/10
Placement Assistance
Program Overview
Key Highlights:
3 Terms - Python, Statistics & Data Analytics
Duration: 3 Months | Weekend Online
Live Instructor Led Classes
Daily Doubt Clearing
Term Projects & Capstone Projects
No Cost EMI upto 12 Months
Placement Support & Assistance
Industry Immersion with top Data Science Leaders
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 Terms
(3 Months)
48+ Hours of
Live Classes
4+ 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 and Applications of Data Visualization.
Univariate statistical charts
Bivariate statistical charts
Multivariate statistical charts
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
Understanding role of product management
Defining product vision & strategy
Identifying key stakeholders & managing expectations
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
Programming Languages & Tools
Completion & Merit Certifications
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
Recent Career Transitions
Beyond the Program Advantage
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.
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 PDS - Pacific Data Summit.
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
Schedule Call with Learning Advisor
To discuss career transition and end objectives.
STEP 2
Apply for Scholarship
Apply for scholarship upto 70% on the entire program fee.
STEP 3
Start Learning
Get 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 CDF program, 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?
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 CDF Program?
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. And the overall Certificate in Data Analytics Program duration is 3 months.
Program Fee & Scholarships
1. Are there any scholarships available?
Yes, Accredian Vision Scholarships (being funded by Accredian Vision Fund®️) provide upto 70% tuition waiver to deserving professionals. Our goal through these scholarships is to enable anyone from any
financial background to be able to become a Data leader of tomorrow.
2. What is the criteria for getting the scholarship?
Accredian Vision Scholarship is available to anyone a) with a deep interest in next generation technologies like Data Science, AI, Big Data Analytics & IOT b) Wants to be a Data leader of tomorrow
and has had a demonstrated professional success c) who will passionate serve Accredian's mission of putting India on the global AI map. To know more about this scholarship, talk to our Admissions
today!
Why Accredian
1. How's the Certificate in Data Analytics Program program 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.
Discuss your Goals
