This Applied Data Science using Python course will provide you with a thorough understanding of each of the key Python libraries used for data science. Specifically, you will learn NumPy, Pandas, Matplotlib and Scikit-learn, known as the Python data stack.We will perform data exploration, analysis, visualization and modeling. The course will culminate with you applying these tools to a hands-on data science project.
Unlock the world of Applied Data Science using Python with a comprehensive training program. Gain an in-depth understanding of essential Python libraries for data science, including NumPy, Pandas, Matplotlib, and Scikit-learn—collectively known as the Python data stack. This course takes you on a journey through data exploration, analysis, visualization, and modeling, providing you with practical skills. Learn the data science process and effective problem-solving techniques, from data cleaning and transformation to preparation for analysis. Dive into descriptive and inferential statistics, empowering you to perform hypothesis testing for deeper insights into your data. Explore machine learning and predictive analytics, understanding various model performance metrics and the art of selecting the best model for your projects. Cap off your learning journey by applying these valuable tools to a hands-on data science project. Elevate your data science skills with our “Applied Data Science using Python” training, and unlock a world of possibilities in this dynamic field.
BDT4 / 3 Days
After this course, you will be able to:
Day 1:
Day 2:
Day 3:
Yes (Digital format)
