Data Manipulation in Python: Master Python, Numpy & Pandas Online Course

The Data Manipulation in Python: Master Python, Numpy & Pandas online course provides learners with the skills, knowledge, and hands-on practice to master modern data manipulation techniques using Python and its most powerful libraries. This course is specifically tailored for those who want to develop strong expertise in Data Manipulation in Python: Master Python, Numpy & Pandas, ensuring practical application in data science, analytics, and business intelligence.

Participants will begin with a quick refresher on Python, then progress to essential libraries such as NumPy and Pandas, which are at the heart of Data Manipulation in Python: Master Python, Numpy & Pandas. Learners will master fundamental NumPy properties, matrix operations, mathematical techniques for data science, and in-depth handling of Pandas DataFrames and Series. Each section of the Data Manipulation in Python: Master Python, Numpy & Pandas online course emphasizes real-world applications, enabling participants to clean, analyze, visualize, and interpret data effectively.

With structured modules, the program also covers advanced skills such as exploratory data analysis (EDA), time series analysis, and data visualization techniques using Python. By completing this course, participants will not only gain technical mastery of Data Manipulation in Python: Master Python, Numpy & Pandas, but also develop problem-solving and analytical skills critical to data-driven industries worldwide.

Learning Outcomes

1. Understand fundamentals of Data Manipulation in Python: Master Python, Numpy & Pandas.
2. Apply NumPy techniques for efficient data handling and mathematical operations.
3. Use Pandas DataFrames and Series for structured data management effectively.
4. Implement data cleaning strategies to prepare datasets for deeper analysis.
5. Visualize datasets using Python tools to communicate insights clearly.
6. Perform exploratory and time series analysis with practical industry applications.

Course Link : Data Manipulation in Python: Master Python, Numpy & Pandas Online Course

Course Curriculum

• Python Quick Refresher (Optional)
• Essential Python Libraries For Data Science
• Fundamental NumPy Properties
• Mathematics For Data Science
• Python Pandas DataFrames & Series
• Data Cleaning
• Data Visualization Using Python
• Exploratory Data Analysis
• Time Series In Python

Disclaimer:

This is an online course with pre-recorded lessons. You will get access to the course within 48 hours after your enrolment.