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Fundamentals of business analytics and data-driven decision-making
Data collection, cleaning, and preprocessing techniques
Exploratory data analysis using Excel and Python
SQL for data querying and manipulation
Data visualization using Power BI and Tableau
Predictive analytics, regression, and forecasting
Introduction to machine learning and model evaluation
Business case studies and domain-specific analytics
Basic computer literacy and math skills
No prior coding or analytics experience required
Laptop or PC with internet access
Microsoft Excel and access to Google Sheets/Power BI (free or student version)
Students and recent graduates aiming for careers in data or analytics
Working professionals looking to switch to analytics roles
Business owners and managers wanting to use data for better decisions
Anyone interested in learning how to analyze and interpret data effectively
Unlock the power of data to drive business decisions with our comprehensive Business Analytics Certification Program. Designed for aspiring data professionals, analysts, and decision-makers, this course covers everything from data analysis and visualization to predictive modeling and business intelligence. Gain hands-on experience with tools like Excel, SQL, Power BI, and Python to solve real-world business problems and make data-driven decisions confidently.
The Business Analytics course is structured to take you from the fundamentals of data analysis to building predictive models. Each module blends theory with practical application, offering projects, tools training, and case-based assignments.
Role and importance of analytics in business
Types of analytics: descriptive, diagnostic, predictive, prescriptive
Tools and platforms overview
Data formats and types
Cleaning and organizing data in Excel and Python
Handling missing values and duplicates
Descriptive statistics and trend analysis
Visualizing distributions and correlations
Data summarization and outlier detection
Basics of relational databases
Writing queries to filter, sort, and aggregate data
Joins, subqueries, and case statements
Introduction to Power BI/Tableau
Creating interactive dashboards and reports
Visual storytelling and business insights
Linear and logistic regression models
Time series forecasting and trend models
Model interpretation and accuracy evaluation
Python basics for data analysis
Pandas, NumPy, and Matplotlib libraries
Simple automation and scripting for reports
Sales, marketing, finance, and HR analytics examples
Case study analysis and presentation
Business KPIs and dashboard storytelling
Real-world business analytics project
Data analysis, visualization, and presentation
Viva + Certificate of Completion
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