Business Analytics
This comprehensive Business Analytics Course equips learners with essential skills in data-driven decision-making, Agile methodologies, and analytical tools.
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Why Choose Codeintips?
Explore our top certification courses, trusted by thousands of student to boost your skill
Interactive Courses designed by experts
100% Placement Assistance
Limited Batch Strength
Interviews Preparation Sessions
One Year Live Session Access
Capstone Project
Work on Live Projects
24/7 Support For Seamless Learning
Grooming Session
Communication Session
CV Building
Mock Test
HR Interview Rounds
100% Practical Training
Comprehensive Curriculum
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Course Overview
Our comprehensive syllabus covers everything from the fundamentals to advanced techniques, ensuring you gain hands-on experience with real-world applications. Here’s what you’ll learn:
- Overview of Business Analytics & Its Role in Decision-Making
- Types of Analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
- Understanding Agile Methodology in Business Analytics
- Agile vs. Waterfall: Key Differences
- Role of a Business Analyst in Agile Teams
- Data Cleaning & Preparation in Excel
- Advanced Excel Functions (VLOOKUP, INDEX-MATCH, IF Statements)
- Pivot Tables & Charts for Data Analysis
- Excel Automation using Macros & VBA
- Data Analysis ToolPak (Regression, Forecasting, ANOVA)
- Introduction to Databases & SQL Basics
- Writing Queries (SELECT, WHERE, GROUP BY, ORDER BY)
- Joins, Subqueries, and Views
- Data Cleaning & Transformation using SQL
- Stored Procedures & Performance Optimization
- Hands-on SQL Project
- Introduction to Python (Jupyter Notebook, Anaconda)
- Data Handling with Pandas & NumPy
- Exploratory Data Analysis (EDA)
- Data Visualization using Matplotlib & Seaborn
- Basic Machine Learning with Scikit-Learn (Linear Regression, Classification)
- Web Scraping & API Integration for Business Insights
- Descriptive vs. Inferential Statistics
- Probability Distributions & Hypothesis Testing
- Correlation & Regression Analysis
- A/B Testing & Experiment Design
- Time Series Analysis & Forecasting
- Hands-on Statistical Analysis using Python & Excel
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