Python for Data Science
Discover how Python is used to collect, analyze, and visualize data in modern organizations.
This course introduces the essential tools and techniques of Python for Data Science, helping learners understand how to manipulate data, perform analysis, and extract meaningful insights from datasets.
You will work with popular Python libraries used by data professionals and learn how data scientists transform raw data into valuable information for decision-making.
Key topics include:
Introduction to Python for data analysis
Working with datasets using Pandas and NumPy
Data cleaning and preprocessing techniques
Exploratory Data Analysis (EDA)
Data visualization with Matplotlib and Seaborn
Introduction to basic statistical analysis with Python
Real-world data analysis examples and exercises
Requirements / Prerequisites:
Basic knowledge of programming concepts
Familiarity with Python fundamentals is recommended
Interest in data analysis and problem solving
This course introduces the essential tools and techniques of Python for Data Science, helping learners understand how to manipulate data, perform analysis, and extract meaningful insights from datasets.
You will work with popular Python libraries used by data professionals and learn how data scientists transform raw data into valuable information for decision-making.
Key topics include:
Introduction to Python for data analysis
Working with datasets using Pandas and NumPy
Data cleaning and preprocessing techniques
Exploratory Data Analysis (EDA)
Data visualization with Matplotlib and Seaborn
Introduction to basic statistical analysis with Python
Real-world data analysis examples and exercises
Requirements / Prerequisites:
Basic knowledge of programming concepts
Familiarity with Python fundamentals is recommended
Interest in data analysis and problem solving
If this course interests you, request this training and we will organize an event once enough participants show interest!
Get notified when available