Business Analytics Program
August 14, 2024 2025-03-23 15:10Business Analytics Program
Business Analytics Program
Comprehensive curriculum covering Advanced Excel, Python, SQL, Tableau, and Business Statistics.
Emphasis on practical, hands-on experience with real-world case studies.
Expert instructors with industry experience and insights.
Flexible learning options suitable for both beginners and professionals.
Strong career support with networking opportunities and career advancement resources.
Recognized certification to enhance your professional profile.
Aligned with current industry trends and demands for relevant skills.
Key Highlights of Business Analytics Program
Weekly sessions with industry professionals
Dedicated Learning Management Team
300 hours of hands-on learning experience
Over 105 hours live sessions spread across 05 months
105 hours of self-paced Learning
Learn from Industry experts
More than 40+ industry-related projects and case studies
Personalized mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Weekly sessions with industry professionals
Dedicated Learning Management Team
300 hours of hands-on learning experience
Over 105 hours live sessions spread across 05 months
135 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 40+ industry-related projects and case studies
Personalized mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Why Join Business Analytics Program?
Upcoming Batch:-
19th January 2025 (10pm to 1 am )
1st of February 2025 (10 pm to 1 am)
Business Analytics Program Overview
This Program prepares participants with necessary skills to work in the analytics industry by learning how to interpret and interpret and analyze data from the business. The course covers the basics of Python, and statistics as well data manipulation and analysis in addition to providing hands-on experience with industry standard tools. Result : Learners will be able to do data interpretation, predictive modeling and translate insights for business strategy.
Business Analytics Program Objectives
The course aims to equip participants with essential skills in data analysis and interpretation for strategic decision-making. This Advanced Excel and
Business Tools Program provides a solid foundation with tools like Advanced Excel, Python,SQL and Tableau coupled with the learning of Business Statistics. Upon completion of this series, you will be able to both tell a story with data and apply a practical application in real business circumstances.
Why Learn Business Analytics Program?
Program Advantages
Covers essential tools like Excel, Python, SQL, and Tableau for a well-rounded business analytics foundation.
Emphasizes hands-on experience through case studies to apply knowledge in real-world scenarios.
Aligns with industry needs, ensuring skills are immediately applicable in the workplace.
Taught by experienced instructors with practical, real-world expertise.
Suitable for both beginners and professionals, offering a flexible learning path.
Equips you with the tools and knowledge to advance in your career or pivot into data-focused roles.
Covers essential tools like Excel, Python, SQL, and Tableau for a well-rounded business analytics foundation.
Emphasizes hands-on experience through case studies to apply knowledge in real-world scenarios.
Aligns with industry needs, ensuring skills are immediately applicable in the workplace.
Taught by experienced instructors with practical, real-world expertise.
Suitable for both beginners and professionals, offering a flexible learning path.
Equips you with the tools and knowledge to advance in your career or pivot into data-focused roles.
Business Analytics Program Certification
Business Analytics Program Learning Path/Curriculum
Module 01 - Python
Lecture 00: Introduction to Business Analytics & its uses in various application,Scope of Business Analytics
Lecture 01: Introduction to Python, Why Python, Variables, Data Types, Type Casting, Strings, Indexing
Lecture 02: Operators and Conditional Statements, Looping Statements and its Control Statement
Lecture 03: Lambda Functions, *args, **kwargs, Functions
Lecture 04: Data Structures - List, Tuple, and List Comprehensions
Lecture 05: Data Structures - Set and Dictionaries
Lecture 06: Classes, Objects and Constructors, Inheritance
Lecture 07: Polymorphism, Abstraction and Encapsulation
Lecture 08: Connecting to Databases, Establishing Connections to Databases, Executing SQL Queries, ORM (Object-Relational Mapping), Working with NoSQL Databases
Lecture 09: Introduction to NumPy and Pandas
Lecture 10: Introduction to Seaborn and Matplotlib
Module 02 - Statistics
Lecture 11: Introduction to Statistics, Descriptive Statistics, Sample, Population, Measures of Central Tendency, Standard Deviation
Lecture 12: Variance, Range, IQR, Outliers, Correlation, Covariance, Skewness, Kurtosis, Probability
Lecture 13: Probability, Probability Distributions, Central Limit Theorem, Binomial and Poisson Distribution
Lecture 14: Normal Distribution, Type I & Type II Error
Lecture 15: T-test, Z-test, Hypothesis Testing Interview Questions
Module 03 - SQL
Lecture 16: Basic of Database,Types of Database,Data Types, SQL Operators, Expression, Create, Insert
Lecture 17: Drop, Truncate, Delete, Alter, Update, Select, Range, Operater, IN,Wildcard, Like, Clause
Lecture 18: Constraint, Aggregation Function, Group by, Order by, Having
Lecture 19: Joins, Case, Complex Queries, Doubt Clearing
Module 04 - Tableau
Lecture 20: Tableau Desktop, Tableau Products
Lecture 21: Data Import, Measures, Filters
Lecture 22: Data Transformation, Marks, Dual Axis
Lecture 23: Manage Worksheets, Data Visualization, Dashboarding, Project
Module 05 - Advanced Excel
Lecture 24: Introduction to Data Analytics, Scope of Data Analytics
Lecture 25: Microsoft Excel Overview, Basic Navigation and Usage, Cell referencing, Formatting Excel, Advanced Formatting, Shortcuts and Basic Formulas
Lecture 26: Sorting, Filtering, Advanced Filtering, Charts, Types of Charts, Advanced Charting Techniques and Pivot Tables, Creating, Grouping and Summarizing Data
Lecture 27: Lookup Function, Vlookup, Using VLOOKUP with Multiple, Criteria Hlookup, Combining HLOOKUP with Other Functions, Match Function, Using MATCH for Dynamic Referencing
Lecture 28: Introduction to VBA & Macros, Understanding VBA basics, Debugging and error handling, Advanced VBA Techniques, Integrating VBA with Excel functions, Designing Effective Dashboards, Building a Dashboard
Lecture 29: Understanding the basics of data analysis, Data Import and Cleaning, Using Formulas and Functions, Data Visualization, Descriptive statistics
Lecture 30: Advanced Data Analysis Techniques, DAX, Scenario and Sensitivity Analysis, Dashboards and Reports, Case Studies and Real-World Applications, Practical examples of data analysis in Excel
Module 06 - Case Studies
Lecture 31: Case Studies - Session 01
Lecture 32: Case Studies - Session 02
Lecture 33: Case Studies - Session 03
Lecture 34: Case Studies - Session 04
Lecture 35: Case Studies - Session 05
Lecture 36: Project Discussions
Business Analytics Program Skills Covered
Data analysis techniques
Data Manipulation
Data Cleaning
SQL for Database Management
Business Statistics for Analytical Thinking
Data Visualization with Tableau
Dashboard Creation
Data Storytelling
Real-World Problem Solving through Case Studies
Strategic Decision-Making based on Data Insights
Analytical Thinking and Interpretation
Business Analytics Program Tools Covered
Business Analytics Program Program Benefits
Projects that you will Work On
Machine Learning
No. of Projects:10
Deep Learning
No. of Projects:10
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Job Obligation after this course
We can apply for jobs in
Gather, clean, and organize data from various sources to ensure accuracy and usability.
Apply statistical methods and analytical tools to interpret complex datasets and extract meaningful insights.
Create detailed reports and dashboards to communicate findings and support decision-making processes.
Develop clear and impactful visual representations of data using tools like Tableau to enhance understanding and presentation.
Provide actionable recommendations based on data analysis to drive business strategies and improvements.
Work closely with stakeholders, including business units and management, to understand their data needs and deliver relevant insights.
Address business problems and challenges through data-driven solutions and analytical approaches.
Stay updated with industry trends, new tools, and technologies to maintain and enhance analytical skills.
Companies Hiring for this course
Batch Professional Profiles
Program Advisors
IITs
IIMs
NITs
Experts from the IT Industries.
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Course Fees & Financing
Course Fees
(50% OFF upto 31ˢᵗ March)
(Inclusive Of All Taxes)
Payment Partners
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Upcoming Batches/Program Cohorts
| Batch | Date | Time | Batch Type |
|---|---|---|---|
| Online Live Instructor Led Session | 5th April 2025 | 10:00 AM | Full-Time |
| Online Live Instructor Led Session | 29th March 2025 | 02:00 PM | Part-Time |
Comparison with Others
| Feature | Your Program | Other Programs |
|---|---|---|
| Curriculum Coverage | Comprehensive: Advanced Excel, Python, SQL, Tableau, Business Statistics, Case Studies | Often focused on fewer tools or specific aspects of analytics |
| Hands-On Experience | Emphasis on real-world case studies and practical projects | Varies; some may lack practical application components |
| Instructor Expertise | Experienced professionals with industry insight | May vary; some programs may not have industry-experienced instructors |
| Flexibility | Suitable for beginners and professionals with flexible learning paths | May be more rigid or less accommodating for different skill levels |
| Career Support | Includes career advancement resources and networking opportunities | Support may vary; some programs might not offer extensive career services |
| Industry Relevance | Aligned with current industry needs and practices | May be less up-to-date with the latest industry trends and tools |
Self Assessments
Business Analytics Program Training Faqs
A Business Analytics program teaches students to analyze business data and make data-driven decisions. It includes data analysis, visualization, predictive analytics, and the use of tools like Excel, Tableau, Power BI, and SQL. Students gain skills in interpreting data and improving business processes, preparing them for roles such as Business Analyst, Data Analyst, and Business Intelligence Analyst.
Enhance decision-making through data-driven insights
Business intelligence tools: instruction on SQL, Tableau, and Power BI, among other crucial BI tools.
Using data analysis to assist strategic business choices is known as decision-making.
Operations Management: Increasing the efficacy and efficiency of corporate processes.
Capstone Projects: Practical assignments using actual company data and situations.
Industry-Relevant Curriculum: Courses created to address the demands and tendencies of the corporate world today.
Expert Faculty: Guidance from seasoned academics and experts in the business.
Career Planning: Assistance in finding a job, creating a CV, and getting ready for interviews.
Operations Management: Increasing the efficacy and efficiency of corporate processes.
Capstone Projects: Practical assignments using actual company data and situations.
Industry-Relevant Curriculum: Courses created to address the demands and tendencies of the corporate world today.
Expert Faculty: Guidance from seasoned academics and experts in the business.
Career Planning: Assistance in finding a job, creating a CV, and getting ready for interviews.
Data analysis techniques, Advanced Excel features, data cleaning, analysis techniques, Python programming, data visualization, statistical analysis, Descriptive statistics, probability theory, Database management, SQL querying, Dashboard creation, data storytelling
Advanced Excel, Python, NumPy, pandas, matplotlib, SQL, Tableau/Power BI
A degree in Engineering, Mathematics, Science, or any equivalent field is ideal for pursuing a career in Artificial Intelligence and Data Science.
INR Fees(Exclusive of GST) : INR 125,999.00 INR Fee(Inclusive of GST) : INR 148,679.00 USD Fee: 1499(subject to be change).
Business Analyst, Data Analyst, Business Intelligence Analyst
Entry-level: 5-9 lakhs per annum
Mid-level: 9-15 lakhs per annum
Senior-level: 15+ lakhs per annum
Mid-level: 9-15 lakhs per annum
Senior-level: 15+ lakhs per annum
40+ projects are done during program.
5 months.
1, we will optimise linked in profile and the algorithm of linkedin profile
2, We will conduct GITHUB and Kaggle sessions
3,We will do multiple Hackathons and guide you in problem solving skills for the interview process
4, We will ensure peer learning session are being conducted
5, We will issue mini certification for every tools
6,We will asign you a personal mentor on pre booking i’t a one one session.
2, We will conduct GITHUB and Kaggle sessions
3,We will do multiple Hackathons and guide you in problem solving skills for the interview process
4, We will ensure peer learning session are being conducted
5, We will issue mini certification for every tools
6,We will asign you a personal mentor on pre booking i’t a one one session.
