Step into the future of data analytics by combining the power of artificial intelligence with core data analysis principles. This course is designed for aspiring professionals and businesses aiming to gain a competitive edge through data-driven decision-making and AI integration.
You will explore industry-standard tools, hands-on techniques, and real-world case studies to transform raw data into strategic insights. Learn how AI models assist in predictive analysis, automation, and intelligent decision systems.
Master data cleaning, processing, and visualization techniques.Understand the fundamentals of AI and machine learning algorithms.Explore Python, Pandas, NumPy, and data handling libraries.Learn to build and interpret predictive models.Work on real-time datasets and business cases.Get certified with a credential recognized by industry leaders.What is Data Analysis? 00:45:10
Importance of Data-Driven Decision Making 01:10:05
Types of Data Analytics (Descriptive, Predictive, Prescriptive) 01:25:15
Introduction to Python for Data 01:00:12
Working with Pandas and NumPy 01:30:20
Data Cleaning & Transformation 02:15:40
Visualizing Data with Matplotlib 00:55:30
Using Seaborn for Advanced Graphs 01:20:00
Creating Interactive Dashboards 01:45:00
Overview of Machine Learning 01:10:30
Supervised vs. Unsupervised Learning 01:25:00
Model Training and Evaluation 02:00:00
Power BI and AI Integration 00:50:00
Using Tableau with AI Models 01:10:30
Case Studies in AI-Driven Analytics 01:35:40
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