Data Analysis with Python (Pandas, Matplotlib, Seaborn, NumPy, SciPy, Scikit-learn)

This course is beneficial for anyone looking to advance their data analysis skills and quickly analyze large databases with millions of rows. It is suitable for anyone interested in data analysis, regardless of their current industry or position.
No prior programming experience is required, as the course starts with the basics of Python.

Elevate your data analysis skills with our course, focusing on mastering Python and its data analysis and machine learning libraries, including Pandas, Matplotlib, Seaborn, NumPy, SciPy, and Scikit-learn. You'll learn to manage large datasets, clean, analyze, visualize data, and apply forecasting techniques. The course is designed for compatibility with full-time work, requiring 8-12 hours of self-paced study per week, with personalized instructor support. Upon completion, you'll earn a certificate to add to your LinkedIn profile. This knowledge will boost your career prospects in data science and analysis.

• Pandas for data analysis, data transformation, and data cleaning.
• Matplotlib for data visualization and chart creation.
• Seaborn and SciPy for statistical data analysis (with additional support from Pandas and Matplotlib).
• Scikit-Learn for making various predictions and forecasts using Machine Learning.
• NumPy for fast calculations with multidimensional arrays.

• The course will be held in English as well as all projects and questions will be submitted in English.
• E-learning materials, self-paced: Access interactive digital materials and guided coding videos to study at your own pace, with one year of rewatching available.
• Learn-by-doing approach, weekly schedule: Apply your knowledge through weekly practice exercises, requiring 8-12 hours of study each week.
• Constant mentoring, live sessions: Receive feedback on projects, ask questions anytime, and join live sessions for personalized support.
• Exam, certificate: Complete an exam and/or hand in your final project at the end of the course to earn a certificate for your CV and LinkedIn profile.