Course Title: Python for Data Analysis & Business Intelligence

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$600

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Course Description:

Discover the power of Python in data analysis and business intelligence. This course covers essential Python libraries and techniques to manipulate data, automate processes, and create insightful analyses. Perfect for those new to Python or looking to apply it in a business context

  • Master essential Python libraries such as Pandas and NumPy for efficient data manipulation.
  • Learn to automate data processing tasks, saving time and reducing errors.
  • Develop skills to create insightful data visualizations using Python’s powerful tools.
  • Apply Python techniques to solve real-world business intelligence challenges.
  • Gain a strong foundation in Python for data analysis, even if you’re new to programming.

Course Content

Section 1: Jupyter Notebook 101 – Python Overview
Section 2: Basic Math Operations & Basic Data Types
Section 3: Variables & Lists
Section 4: Tuples & Strings
Section 5: Dictionaries & Sets
Section 6: Numpy Arrays
Section 7: Pandas Data Frames
Section 8: Reading & Writing Data
Section 9: Control Flow (if, else, for, while), List Comprehensions
Section 10: Functions
Section 11: Exploring & Cleaning Data
Section 12: Working with Text Data
Section 13: Preparing Numeric Data
Section 14: Dealing with Dates, Joining Data & Frequency Tables
Section 15: Plotting with Pandas
Section 16: Descriptive Statistics
Section 17: Probability Distributions, Confidence Intervals, Hypothesis Testing & T-Tests
Section 18: ANOVA, Linear Regression, Logistic Regression
Section 19: Decision Trees & Random Forests

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