[UDM] Data Science Tools: Python, Pandas, Machine Learning, EDA Course (Jul 2024) + Resources

There are no special requirements for this course. Here you will learn to use data science libraries and Python programming for data analysis. The Data Science Tools: Python, Pandas, Machine Learning, EDA Course starts with fundamental explanations and the difference between data science, data engineering, and data analysis. You will learn about the importance of data science and its applications.

The course continues by teaching you about Python and R programming languages. This section is essential for anyone working with Pandas, Matplotlib, or Seaborn. Then, you will learn about SQL for data querying, web scraping for data retrieval, using Jupyter Notebook, data visualization, and data manipulation.

The instructor teaches you everything through exams and practices. He talks about supervised, unsupervised, and reinforcement learning techniques and how to apply them to real-world projects. You will learn all of the steps from preprocessing the data to training and evaluating machine learning models.