Python for Data Science - Learn how to apply Python libraries Pandas, NumPy and Matplotlib for Data Science

Learn how to apply Python analytics libraries Pandas, NumPy and Matplotlib for Data Science
What this course is about:

With this course, you will learn about the tools you need to successfully collect, analyze data and manipulate Data. You will learn all fundamentals to start using Python for Data Science. You will explore the various techniques used in solving complex problems commonly faced in data analysis with Python. We will cover how to use Python Data Analysis libraries and tools, including Matplotlib, NumPy, and Pandas to solve real-life tasks and financial problems.

Using Python tools we will, going step by step, analyze historical stocks price data, learn how to plot and create technical analysis tools, apply Pandas to Modern Portfolio Theory and build a Monte Carlo simulation model.

Who this program is for:

Who should attend: Anyone who would like to learn how to Python for Data analysis from scratch, who is thinking about a new career in the Data Science field or would like to boost a career with new skills

You will learn:
  1. Python Libriaries: NumPy, Pandas and Matplotlib
  2. Data structures - Series, DataFrames, Panal
  3. Building DataFrames from scratch
  4. Rearranging and reshaping data
  5. Manipulating DataFrames with Pandas
  6. Importing Data and storing Data in Python
  7. Create powerful visualizations with Matplotlib
Prerequisites & Preparation:
  1. Laptop
  2. Anaconda data science platform

Start Dates

Aug 23rd Evening


Course schedule:
Aug. 23, 2017, 7:15 p.m.
Aug. 30, 2017, 7:15 p.m.

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