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In the data science field require Python.
Growth in demand for data science professionals.
Throughout this free applied data science with Python course, you'll dive into the core concepts of Data Science. Beginning with Python basics, you'll learn how to analyze data effectively. You'll explore NumPy for numerical computations and Pandas for data manipulation.
Statistical analysis and probability theory will help you derive insights from data. Additionally, you'll master data wrangling techniques to clean and prepare datasets. Lastly, you'll use Python for
Read MorePython's popularity in data science stems from its simplicity, readability, and extensive ecosystem of libraries. It offers powerful tools like Pandas, NumPy, and Matplotlib, simplifying data manipulation, analysis, and visualization tasks.
No prerequisites are necessary. This applied data science with Python course is accessible to anyone interested in learning data science using Python. Basic familiarity with programming concepts may be helpful but is not required.
This data science with Python course free covers a broad range of topics, including Python basics, data manipulation, exploratory data analysis (EDA), statistical analysis, machine learning algorithms, and data visualization techniques using popular Python libraries.
The free applied data science with Python course is two hours long and provides a concise yet comprehensive overview of applied data science concepts and techniques using Python.
Upon successfully completing the free data science with Python course, you'll receive a Course Completion Certificate from SkillUp. This certification validates your knowledge and accomplishment in applied data science with Python.
You'll have unrestricted access to the free applied data science with Python course materials for 90 days, allowing you ample time to review the content, practice exercises, and reinforce your learning.