This course provides a foundational introduction to data analytics, combining essential concepts with practical tools used in real-world analysis. It is designed for beginners who want to start their journey in data analytics and understand how data is used to make decisions.

You will begin by learning what data analytics is and how it is applied across different industries. The course introduces key analytical thinking skills and explains how data can be transformed into valuable insights.

Next, you will explore the analytics toolbox, including common tools and techniques used by analysts. This helps you understand the overall workflow of data analysis, from collecting data to interpreting results.

The course also includes an introduction to Python for data analytics, focusing on basic concepts and simple applications such as stock data analysis. You will learn how Python can be used to process data and perform basic predictive tasks.

In addition, you will get familiar with Jupyter (IPython) Notebook, a powerful environment used by data analysts for writing and running code interactively.

By the end of this course, you will have a solid understanding of data analytics fundamentals, basic Python skills, and the tools needed to start analyzing data. This course is ideal for beginners, students, and anyone interested in entering the field of data analytics.