INTRODUCTION In today's data-driven world, the ability to extract meaningful insights from vast amounts of data is crucial for success in various industries. This course is designed to equip you with the essential skills and tools needed to navigate the dynamic field of data analytics effectively. Throughout this course, you will embark on a journey from understanding the fundamentals of data analytics to mastering advanced techniques using popular tools like Excel and Python. MODULES Module 1: Introduction to Data Analytics Module 2: Data Preparation and Cleaning Module 3:Introduction to Excel for Data Analytics Module 4: Data Analysis with Python Libraries Module 5: Statistical Analysis Module 6: Data Visualization and Interpretation Module 07: Final Project LEARNING OUTCOMES Upon completion of this training course participants will be able to: 1) Gain a comprehensive understanding of the significance of data analytics in various industries. 2) Develop proficiency in fundamental data analytics skills. 3) Acquire hands-on experience with popular Python libraries. 4) Master statistical analysis techniques to derive meaningful insights from data. TARGET AUDIENCE 1) Aspiring data analysts seeking foundational knowledge. 2) Business professionals aiming to enhance analytical capabilities. 3) Python enthusiasts are eager to expand their programming skills. 4) Graduate students in business, economics, computer science, or data science. 5) Entrepreneurs and start-up founders who want to recognize the importance of data-drive. PREREQUISITE: Python, Databases COURSE DURATION: 4 - 5 Hours ASSESSMENT TYPE: Continuous Assessment and MCQ IS A CERTIFICATE OF COMPLETION PROVIDED AFTER THE COURSE: Yes. However, learners must score at least 80% on the final MCQ exam WHAT ARE THE TAKE-HOME MATERIALS AFTER THE COURSE Cheat sheets, and a copy of the final project