Accelerate your career with a 360° Instructor-led Online Certification program in Business Analytics at ₹ 5355/month*
270+ Hrs of Applied Learning
100% Career Assistance
1-1 with Industry Mentors
Real -World Industry Relevant Projects
The application is free and takes only 30 seconds to complete.
Accelerate your career with a 360° Instructor-led Online Certification program in Business Analytics at ₹ 5355/month*
270+ Hrs of Applied Learning
1-1 with Industry Mentors
100% Career Assistance
Real -World Industry Relevant Projects
The application is free and takes only 30 seconds to complete.
Experts From
In Association with
Collegedunia and SP Jain School of Global Management offer an Executive Programme in Business Analytics & Data Science that is customized to cater to the needs of individuals who are either new to the field or experienced professionals looking to progress their careers in the analytics industry.
42 Weeks Program
Career Mentorship sessions (1-1)
Graded Assignments
10+ Tools & Programming Languages
Complementary placement opportunities*
Profile Building workshops
Mock interviews
No Cost EMI Option
Soft Skills Essential Training
8+ Case Studies & Capstone projects
Any Graduates (Fresher and Experienced both)
Software and IT Professionals, Product and E-commerce Folks,
Business Professionals in the Service Sectors
Business Professionals in the Institutional Sector, B2B Domain, FMCG & Durables Sector
Freshers/Professionals aspiring to build a career in Data Science & Analytics
Collegedunia and SP Jain School of Global Management offer an Executive Programme in Business Analytics & Data Science that is customized to cater to the needs of individuals who are either new to the field or experienced professionals looking to progress their careers in the analytics industry.
42 Weeks Program
Career Mentorship sessions (1-1)
Graded Assignments
10+ programming tools and Languages
8+ Case Studies & Capstone projects
Complementary placement opportunities*
Profile Building workshops
Mock interviews
No Cost EMI Option
Soft Skills Essential Training
Big Data Market’s worth in 2027
Expected New Jobs for Data Science by 2026
Annual Job Growth by 2026
Any Engineer (fresher and experienced both)
Software and IT Professionals, Product and E-commerce Folks,
Business Professionals in the Service Sectors
Business Professionals in the Institutional Sector, B2B Domain, FMCG & Durables Sector
Freshers/Professionals aspiring to build a career in Data Science & Analytics
Any Engineer (fresher and experienced both)
Software and IT Professionals, Product and E-commerce Folks,
Business Professionals in the Service Sectors
Business Professionals in the Institutional Sector, B2B Domain, FMCG & Durables Sector
Freshers/Professionals aspiring to build a career in Data Science & Analytics
Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.
Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.
Apply NowShe is a highly accomplished analytics professional and published author of best-selling data analytics books, including Machine Learning for Text and Image Data Analysis, HR Analytics, Data Analytics with R, and Data Analytics using Python. Her books are widely accepted as textbooks in prestigious institutions like IIM.
He is a highly seasoned strategy and customer experience professional with 25+ years of proven expertise in the USA, UAE, and India. He led UNB's strategy formulation agenda, reduced process time by 4 months, and introduced best practices in customer experience and market research, yielding AED 250k+ savings.
He specializes in Business Statistics, Business Analytics, Marketing Research, and Asset Management & Investment Banking. He has over 50 publications and serves on the editorial board of several academic journals, including the European Accounting Review and the Irish Accounting Review.
He is an experienced IT consultant, corporate trainer, and certified Tableau and R programming freelancer. He conducted numerous lectures and training programs on management and corporate subjects, including data analytics and visualization using Tableau. He worked with top international companies like Infosys and American Software Services, and his expertise includes data-driven storytelling and email and chat etiquette.
Modules covered under Data Science and Engineering are listed below. However, the sequence of sessions may vary depending on the inter-dependency and relatedness of the themes.
Advanced Excel Functions
Basic Excel Functions
Data Visualization and Dashboarding
Data Wrangling with Excel
Introduction to MS Excel
Pivot Tables
Introduction To Python Programming Tools
Introduction To Python IDE
Introduction To Kaggle And Why It Is Required?
Introduction To Github And Why It Is Required?
Introduction To Python Programming Language
Indentation In Python
Comments On Python And Why It Is Useful
Python Identifiers
Keywords In Python
Variables In Python
First Code Using Python Programming Language
Type Casting
Iris (EDA)
Python, Excel
Introduction to Business Analytics-Orientation
Trends in Business Analytics
Relevance of Business Analytics in Business
Descriptive, Prescriptive and Predictive Analytics
Univariate, Bi Variate and Multi-Variate Analysis
Concepts of Reliability and Validity in Business Analytics
Case Study Discussion
Ribbons, Cells, Range, Table, Sheets, workbooks, Copy and paste special, Conditional formatting, Sample super store data, Basic data wrangling
Logical, Mathematical, Text, Date, Lookup, Summary, and Error Functions
Pivot table functions, Charts, Calculated Field and calculated Items
Objective of the analysis, Data visualisation
Techniques, Graphs and Charts used as outputs - Histogram, Box Plot, Outlier Test
Presentation of results in decision making
Choice of graphs and charts to present results - line graph, bar chart, pie chart, scatter plot, bubble chart
Industry Examples
In Class Exercise
Choice of Scales in Analysis
Understanding of Independent and Dependent Variables
Choice of Variables - Categorical and Continous
Developing Questionnaire to seek responses
Techniques of Predictive Analytics
Decision on choice of techniques to solve business problems
Coorelation Analysis
Factor Analysis
Cluster and Segmentation Analysis
In Class Exercise on Industry Database
Industry Examples
Python Object and Data Structure Basics
Python Comparison Operators
Python Statements - Conditionals and Loops
Methods and Functions in Python
OOPs concept in Python
Errors and Exceptional Handling
Data Wrangling using NumPy
Groupby
Pivot Tables
Dealing with messy data
Feature enginerring
Python for Data Visualisation using matplotlib and Seaborn
Google Play store Data Analysis
Database introduction, MySQL, NoSQL, Database Normalisation, DDL, DML,DLC and datatypes
Basic statements in sql like select, insert update and filtering data using WHERE, IN, NOT IN
Basic functions in SQL (string function, numeric function etc.) and UNION, UNION ALL for displaying data from multiple tables
Grouping data using groupby function and executing queries inside queries, Window Functions using subqueries and nested queries
Windows function and Date function
Northwind Data Case Study
Python, SQL
Introduction To Time Series
Components of Time Series Analysis
Resampling
Autocorrelation
Forecasting
Seasonal Naive,
Double/Triple Exponential (Holt) Residual Analysis,
Stationarity tests
Autoregressive methods
Moving Average
ARIMA
SARIMA
Components of Dashboard
Importing datasets into Tableau
Creating different types of charts
Data cleansing using Data interpretor
Splitting data fields and calculated fields
Providing insights in Charts using visual highlights
Creating groups and sets
Sorting and Flitering of data
Creating map charts using Geographical data
Adding reference line to charts
Merge datasets using Union
Cross database Joins and Join Transformations
Relationship amongst datasets using Data Blending
Method of creating a parameter and calculated fiels
Dynamic reference line with Parameter control
Dynamic chart with single measure selection using Parameter control
Dynamic chart with multiple measure selection using Parameter control
Tabular visualization techniques
Top N items selection in chart using Parameter control
Dashboard and Story creation using Superstore data
Create a Dashboard - Use Accelerators to Quickly Visualize Data, Build an Accelerator for the Tableau Exchange, Size and Lay Out Your Dashboard - Refine Your Dashboard
Create a View-Selection Menu, Rebrand a Dashboard ,Create Dashboard Layouts for Different Devices, Build Accessible Dashboards
Manage Sheets in Dashboards and Stories, Use Dashboard Extensions The Story Workspace, Best Practices for Telling Great Stories
Create a Story, Add a Tableau Data Story to a Dashboard
Relevance of Scenario Planning in Decision Making
Scenario Planning aligned to risk and strategy
Techniques - Goal Setting, What if Analysis
In Class Exercise
Case Study Discussion
Relevance of Macro Enviroment Analysis in Business
Relevance of Environment Analysis across Business Functions - Strategy, Operations, IT, HR, Marketing
Conducting PESTLE Analysis effectively - using inputs in decision making
In Class Exercise
Identification of Stakeholders
Conducting micro environment analysis effectively - using inputs in decision making
Relevance and conduct of SWOT Analysis
Case Study Discussion
E-Commerce Data Case Study
Tableau, Excel
Importance of Big Data Anaytics
Model for implementing Big Data Analytics Successfully
Overview of Customer Analytics, People Analytics, Social Media Analytics
Operations Analytics - relevance, required variables, techniques and KPIs
Dos and Don’t's of Making Effective Presentations
Getting the right message across to business stakeholders
Importance of Effective Communication
Role Play
Industry Examples
Customer Behaviour Analysis
Python, SQL, Excel
Business Intelligence on Ed-Tech Data - This project aims to understand the concepts of business intelligence insights, by analyzing various successful conversions. You will be doing Data cleaning and EDA through Python and identifying the KBRs and KPIs for this specific business problem.
Exploratory Data Analysis on a Call Centre - CallIn PLC is a BPO solutions company based in Poland that handles incoming calls for various banks. They have dedicated teams for each of their clients. This project is about the team that handles incoming calls for the Royal Bank of Scotland (RBS) which is one of the banks that employs service solutions of Callln PLC. RBS Board has hired services of Brent Associates to audit its accounts and the auditors have sought pay-out details to CallIn PLC. You are working with Brent Associates as a data analyst and have been called in the team to render your services and investigate inconsistencies.
Resume Building Workshop
Data Science Interview Preparation Workshop
Guesstimates and Problem Solving Workshop
72+ Live Sessions across 9 months
150+ Hrs of Self-Paced Learning
8+ Industry Projects & Case Studies
8+ Assessments & Assignments
24*7 Support
100+ Hiring Partners
Hands-on experience with 10+ Tools and Programming Languages
Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.
Apply Now270+ Hrs Learning Hours
Industry Readiness Assessments
High-Performance Coaching (1:1)
Network with industry leaders through our offline immersion program
Live Personalized Mentorship in small groups
Real -World Industry Relevant Projects
SP Jain School of Global Management Alumni Status
Hands-on learning on Analytical and Programming tools such as Python, My SQL, Tableau,PowerBI and Excel
Career transition with up to 200% Salary Hike
The demand for data scientists is increasing year on year by 28% and around 11 million trained data scientists will be required by the year 2026.
270+ Hrs Learning Hours
Industry Readiness Assessments
High-Performance Coaching (1:1)
Network with industry leaders through our offline immersion program
Live Personalized Mentorship in small groups
Real -World Industry Relevant Projects
SP Jain School of Global Management Alumni Status
Hands-on learning on Analytical and Programming tools such as Python, My SQL, Tableau,PowerBI and Excel
The demand for data scientists is increasing year on year by 28% and around 11 million trained data scientists will be required by the year 2026.
Apply NowI completed a comprehensive Data Science course with Collegedunia Learn, a remarkable learning experience. I acquired skills to analyze large datasets quickly and improve my presentation abilities for top-level management. Studying with accomplished professionals and leaders provided valuable insights through practical examples and regular assessments. This course elevated my skillset, motivating me to set high standards for excellence in all aspects of life.
My time at Collegedunia Learn has exceeded my expectations, offering a solid foundation for my future pursuits. Their dedication to academic excellence, holistic growth, and student assistance distinguishes them. The instructors' expertise is evident in their mastery of the subject and effective use of real-world examples. I strongly endorse Collegedunia Learn for its thorough education, commitment to excellence, and outstanding student support.
I'm Sajan Kumar, excited to share my success story as a student in Collegedunia Learn. Transitioning from electrical engineering to Python development, I found this program to be a perfect fit, offering a strong Data Science and Analytics foundation, hands-on learning, industry mentorship, and a remarkable 100% salary hike before course completion.
Enrolling in the Collegedunia Learn course was my top career choice! Coming from a computer science background with limited Data Analysis exposure, the program's thorough content, supportive instructors, and strong team assistance surpassed my expectations. I'm now more self-assured and enthusiastically recommend this course for those entering or progressing in the field
My experience at Collegedunia Learn has been exceptionally remarkable, exceeding my expectations and preparing me well for the future. I proudly recommend Collegedunia Learn to any aspiring student seeking a comprehensive and enriching education, as their commitment to academic excellence, holistic development, and student support distinguishes them. I'm grateful for the exceptional education that will undoubtedly shape my future success.
I'm excited to share my experience with the Data Science and Analytics course offered by Collegedunia Learn. Their curriculum aligns with industry standards, equipping students with essential skills. The hands-on learning approach has prepared me to handle complex data challenges, and its commitment to excellence and industry relevance makes it an ideal choice for future data professionals, ensuring my success in the field.
I believe that College Dunia Learn is the best platform for learning Data Science. The institution offers comprehensive and specialized training in data analytics, equipping students with the necessary skills and knowledge to excel in the field. The courses provided by College Dunia Learn are designed to meet industry standards and are taught by experienced professionals in the data science domain.
The objective is to identify and analyze Uber Demand Supply: the problems in Supply-Demand of Uber trips from City to Airport and vice-versa across various hours of the day and find out possible solutions to address the problem.
Churn prediction is probably one of the most important applications of data science in the commercial sector. The thing which makes it popular is that its effects are more tangible to comprehend and it plays a major factor in the overall profits earned by the business.
Ecommerce analytics is the process of accumulating data from all of the areas that have an impact on your store. You should then use this data so that you can comprehend shifts in customer behavior and online shopping trends.
A car price prediction has been a high-interest research area, as it requires noticeable effort and knowledge of the field expert. Considerable number of distinct attributes are examined for the reliable and accurate prediction
Exploratory Data Analysis on Google Play Store Apps, Analyzing the Apps found on Google Play store to gain an insight into the present Android Market.
This project aims to understand the concepts of business intelligence insights, by analysing various successful conversions. You will be doing Data cleaning and EDA through python and identifying the KBRs and KPIs for this specific business problem.
CallIn PLC is a BPO solutions company based in Poland that handles incoming calls for various banks. They have dedicated teams for each of their clients. This project is about the team that handles incoming calls for Royal Bank of Scotland (RBS) that is one of the banks that employs service solutions of CallIn PLC.RBS Board has hired services of Brent Associates to audit its accounts and the auditors have sought pay-out details to CallIn PLC. You are working with Brent Associates as data analyst and have been called in the team to render your services and investigate inconsistencies.
In case of a refund, student will be solely responsible for any cancellation of loan, including but not limited to applicable loan cancellation charges levied on the total cancelled loan amount.