Description:
This course provides a comprehensive overview of Data Science, Artificial Intelligence, and Machine Learning concepts, algorithms, and applications. You will delve into the principles and techniques that drive these cutting-edge technologies, equipping you with the knowledge and skills required to thrive in a data-driven world.
Key Highlights:
- Foundational concepts of Data Science, AI, and ML
- Hands-on experience with popular tools and frameworks
- Real-world case studies and projects to apply theory into practice
What you will learn:
- Understanding Data Science Fundamentals
Learn the basics of data manipulation, visualization, and analysis techniques
- Exploring Artificial Intelligence
Discover the principles and applications of AI, including neural networks and deep learning
- Mastering Machine Learning Algorithms
Gain expertise in supervised and unsupervised learning algorithms for predictive analytics
Topics Python Programming for Data Science
- Exploratory Data Analysis
- Inferential Statistics and Hypothesis Testing
- Introduction to Database Management Systems and SQL Programming
- Machine Learning, Linear and Logistic Regression, Clustering Techniques
- Basics of Natural Language Processing
- Version Control with Git and GitHub
Projects:
Credit Risk Analysis
Analyse loan application data using exploratory data analysis to identify factors influencing loan default risk.
Movie Ratings Analysis
Analyse movie ratings data using MySQL to provide insights and recommendations for an upcoming global project.
Bike Sharing Demand Prediction
Build a regression model to predict the demand for shared bikes to help understand supply, meet demand, and plan logistics.
Lead Scoring Classification
Build a logistic regression model to assign lead scores and identify potential leads to improve lead conversion rates.
Data Analysis Specialisation
- Big Data Analytics with PySpark
- Advanced Database Programming using SQL and pandas
- Data Storytelling with Tableau and Power BI
- Analytical Thinking and Structured Problem Solving
- Data Structures and Algorithms
- Algorithm Analysis and Recursion
Launch your Graphy
