Generative AI  /  Beginner to Mastery

Business Analytics Course

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Course Duration

300 Hours

 

Course Material

Live. Online. Interactive.

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.

Equips learners with advanced BI tools and frameworks to create impactful, data-driven business solutions.

KEY HIGHLIGHTS OF BUSINESS ANALYTICS COURSE PROGRAM

1) Weekly sessions with industry professionals

2) Dedicated Learning Management Team

3) 300 hours of hands-on learning experience

4) Over 105 hours live sessions spread across 05 months

5) 135 hours of self-paced Learning

6) Learn from Industry Experts.

🔺More than 25+ industry-related projects and case studies

🔺24*7 Support

🔺1:1 Mock Interview

🔺Designed for both working professionals and fresh graduates

🔺Competitive Edge and Innovation

🔺 Personalised mentorship sessions with industry experts

🔺Dedicated Learning Management Team

🔺No-Cost EMI Option

🔺High Demand and Career Opportunities

🔺Problem-Solving and Critical Thinking

WHY JOIN BUSINESS ANALYTICS COURSE PROGRAM?

Gain In-Demand Skills

Learn essential tools and techniques that are highly valued in the business analytics field.

Practical Application

Benefit from hands-on case studies and real-world projects that prepare you for actual business challenges.

Expert Instruction

Receive guidance from experienced instructors with practical industry experience.

Career Advancement

Enhance your qualifications and open up new career opportunities in data analysis and business intelligence.

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Business Analytics Course 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.

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Business Analytics Course 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.

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Why Learn Business Analytics Course ?

Develop In-Demand Skills

Gain expertise in advanced data analysis tools like Excel, Python, SQL, and Tableau, which are highly sought after in the job market.

Enhance Decision-Making

Learn to interpret data and derive insights that can drive informed business decisions.

Master Data Visualization

Acquire the ability to present data in compelling visual formats using Tableau, making complex information accessible and actionable.

Strategic Problem-Solving

Develop the ability to identify business challenges and solve them with data-driven strategies.

Industry-Relevant Training

Stay aligned with current market needs through hands-on projects and tools used by top organizations.

Strengthen Analytical Thinking

Build a solid foundation in Business Statistics to better understand and analyze data patterns and trends.

Real-World Application

Apply your learning to practical case studies, bridging the gap between theory and real-world business challenges.

Boost Career Prospects

Open up career opportunities in business analytics, data analysis, and related fields by mastering essential analytical tools and techniques.

Program Advantages

✅ Master essential tools like Advanced Excel, Statistics, Python, SQL & Tableau .

✅ Learn up-to-date practices that match current market demands in Business analysis.

✅ Apply knowledge through real-world projects and hands-on exercises for practical experience.

✅ Equip yourself with versatile skills applicable across various industries and sectors.

✅ Develop data visualization expertise to effectively communicate insights and drive decision-making.

✅ Stay ahead with in-demand tools that shape the future of data analytics.

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Business Analytics Course program Certifications

Business Analytics Course Curriculum

Module 01 - Advanced Excel
Lecture 01: Orientation (Introduction to Data Science, Scope of Data Science)
Lecture 02: Microsoft Excel Overview, Basic Navigation and Usage, Cell Referencing, Formatting Excel, Advanced Formatting, Shortcuts and Basic Formulas
Lecture 03: Sorting, Filtering, Advanced Filtering, Charts, Types of Charts, Advanced Charting Techniques, and Pivot Tables (Creating, Grouping and Summarizing Data)
Lecture 04: Lookup Functions, VLOOKUP, Using VLOOKUP with Multiple Criteria, HLOOKUP, Combining HLOOKUP with Other Functions, MATCH Function, Using MATCH for Dynamic Referencing
Lecture 05: 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 06: Introduction to dplyr, Selecting, filtering, and arranging data, Grouping data, Summarizing data with summarize and mutate
Lecture 07: 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 02 - Python
Lecture 08: Introduction to Python, Why Python, Variables, Data Types, Type Casting, Strings, Indexing
Lecture 09: Operators and Conditional Statements, Looping Statements and its Control Statement
Lecture 10: Lambda Functions, *args, **kwargs, Functions
Lecture 11: Data Structures – List, Tuple, and List Comprehensions
Lecture 12: Data Structures – Set and Dictionaries
Lecture 13: Classes, Objects and Constructors, Inheritance
Lecture 14: Polymorphism, Abstraction and Encapsulation
Lecture 15: Connecting to Databases, Establishing Connections to Databases, Executing SQL Queries, ORM (Object-Relational Mapping), Working with NoSQL Databases
Lecture 16: Introduction to Numpy and Pandas
Lecture 17: Introduction to Seaborn and Matplotlib
Module 03 - Statistics
Lecture 18: Introduction to Statistics, Descriptive Statistics, Sample, Population, Major of Central Tendency, Standard Deviation,
Lecture 19: Variance, Range, IQR, Outliers, Correlation, Covariance Skewness, Kurtosis, Probability
Lecture 20: Probability, Probability distributions, Central Limit Theorem, Binomial and Poisson Distribution
Lecture 21: Normal Distribution, Type I & Type II Error
Lecture 22: T-test, Z-test, Hypothesis Testing
Interview Questions
Module 04 - SQL
Lecture 23: Basics of Database, Types of Database, Data Types, SQL Operators, Expressions, Create, Insert
Lecture 24: Drop, Truncate, Delete, Alter, Update, Select, Range, Operator, IN, Wildcard, Like, Clause
Lecture 25: Constraint, Aggregation Function, Group By, Order By, Having
Lecture 26: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, Xgboost
Lecture 27: Joins, Case, Complex Queries, Doubt Clearing
Module 05 - Tableau
Lecture 28: Tableau Desktop, Tableau Products
Lecture 29: Data Import, Measures, Filters
Lecture 30: Data Transformation, Marks, Dual Axis
Lecture 31: Manage Worksheets, Data Visualization, Dashboarding
Lecture 32: Project Session

Business Analytics Course Skills Covered

Business Analytics Course Tools Covered

Business Analytics Course Program Benefits

Data-Driven Decision Making
Equip yourself to make informed decisions that drive business success.
Career Growth
Unlock higher-level roles and increase your earning potential.
Versatile Skill Set
Gain expertise applicable across various industries, from finance to healthcare.
Advanced Tools Mastery
Learn cutting-edge tools like Python, and SQL for data analysis.
Strategic Insights
Develop the ability to uncover trends and make impactful business recommendations.
Earn Certification
Earn a certification that validates your expertise and enhances your professional credibility.
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Admission Process

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.