From recommending your next favorite show to forecasting trends in the stock market, Python has become an indispensable tool for analyzing data and performing automation tasks across nearly every high-growth and high-tech industry. In this dynamic and fast-paced course, you will acquire practical, applicable knowledge of Python so that you can begin contributing meaningful insights and analysis to your organization or secure your initial role in the rapidly expanding field of data science.
Employment opportunities for Python professionals are expected to grow at a rate more than four times faster than most conventional United States occupations. Python's straightforward, readable syntax and its wide range of practical, versatile applications make it the ideal and most strategic programming language to learn in today's technology landscape.
What You'll Learn:
- Foundational programming concepts and techniques, including how to use objects, construct loops, and define functions.
- The principles and applications of the object-oriented programming paradigm.
- Working effectively with a variety of different data types, such as strings, lists, and numeric integers.
- Using conditional statements to precisely manage and alter the control flow of your programs.
- Analyzing structured tabular data through the use of Python libraries NumPy and Pandas.
- Creating compelling and meaningful data visualizations using the Matplotlib library.
- Using linear regression with Scikit-Learn to make predictions and forecast outcomes.
Learn more about Python for Data Science Immersive at Practical Programming.
