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Technology & IT
Business Analytics
Learn from : Shweta Sutar
Data Science, Machine learning, NLP, Python, SQL, Artificial Intelligence, Deep Learning, Engineering, statistics
Course Language: English
Course Fee
$273.00
Course Fee
$273.00
Instructor Bio:
I am passionate about empowering students with knowledge in Artificial Intelligence, Data Science, and Software Engineering. With over 8 years of experience in education and training, I have successfully mentored and guided more than 1000 students in mastering key concepts in Data Science, Machine Learning, Deep Learning, and Natural Language Processing. My approach focuses on practical learning, real-world applications, and fostering a deep understanding of modern AI technologies to prepare students for impactful careers.
VIEW FULL PROFILE4 Weeks
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Course Description:
Business Analytics Course (1 Month | 20 Classes)
This 1-month Business Analytics course is designed to provide learners with practical skills in data analysis, reporting, visualization, and decision-making. Students will learn how to collect, clean, analyze, and visualize data using industry-standard tools. The course covers descriptive, diagnostic, predictive, and prescriptive analytics, enabling learners to extract actionable insights from business data and communicate findings effectively through dashboards and reports.
Important Tools
- Microsoft Excel
- SQL (MySQL/PostgreSQL)
- Power BI
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Google Sheets
- Jupyter Notebook
- Power Query
- DAX
- GitHub (for project portfolio)
Course Curriculum:
Important Concepts Covered
Module 1: Introduction to Business Analytics
- What is Business Analytics?
- Role of Business Analyst vs Data Analyst
- Analytics Lifecycle
- Types of Analytics:
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Business Problem Solving Framework
Module 2: Excel for Business Analytics
- Excel Interface and Functions
- Data Cleaning Techniques
- IF, VLOOKUP, XLOOKUP
- INDEX-MATCH
- Pivot Tables
- Pivot Charts
- Conditional Formatting
- What-If Analysis
- Data Validation
- Dashboards in Excel
Module 3: SQL for Business Analytics
- Database Fundamentals
- SELECT, WHERE, ORDER BY
- GROUP BY and Aggregations
- JOINS (Inner, Left, Right, Full)
- Subqueries
- Common Table Expressions (CTEs)
- Window Functions
- Business KPI Calculations
Module 4: Statistics for Business Analytics
- Mean, Median, Mode
- Variance and Standard Deviation
- Probability Basics
- Normal Distribution
- Correlation
- Hypothesis Testing
- Confidence Intervals
- A/B Testing
Module 5: Data Visualization
- Visualization Principles
- Choosing the Right Chart
- Bar, Line, Pie, Histogram
- Scatter Plot
- KPI Cards
- Storytelling with Data
- Dashboard Design Best Practices
Module 6: Power BI
- Data Import
- Data Transformation using Power Query
- Data Modeling
- Relationships
- DAX Basics
- Calculated Columns and Measures
- Interactive Dashboards
- Publishing Reports
Module 7: Python for Analytics (Basic)
- Python Fundamentals
- NumPy
- Pandas
- Data Cleaning
- Exploratory Data Analysis (EDA)
- Business Case Studies
Module 8: Business Metrics & KPIs
- Revenue Analysis
- Profit Analysis
- Customer Analytics
- Retention and Churn
- Sales Performance Metrics
- Marketing Analytics
- Conversion Rate Analysis
- ROI Calculation
Module 9: Business Analytics Projects
- Retail Sales Analysis
- Customer Segmentation
- Marketing Campaign Analysis
- Financial Performance Dashboard
- E-commerce Analytics
Module 10: Reporting & Presentation
- Creating Business Reports
- Dashboard Presentation
- Executive Summary Writing
- Stakeholder Communication
- Data Storytelling
Earn a Course Completion Certificate
Add this certificate in your LinkedIn Profile, resume or share it on social media platforms. It helps validate the learner’s knowledge and skills, boosting their resume and increasing their employability.
