Python Programming for Data Analytics
Course Description
Python Programming Python is a high-level programming language and it is mainly used in the field
of mathematics and complex program designing, web development, software development and
system scripting. However, we will learn Python program uses for data analytics here
What You'll Learn
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Learn Python programming fundamentals
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Understand Python data structures and data types
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Work with files, databases, and external data sources
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Perform data cleaning and data manipulation
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Analyze datasets using Pandas and NumPy
Prerequisites
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Basic computer knowledge
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Understanding of MS Excel
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No prior programming experience required
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Interest in data analysis and visualization
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Basic understanding of mathematics and statistics is helpful
Course Curriculum
5 Sections • 36 Lessons • 30.00 Total Duration
- Python Overview and Installation steps Video Preview
- Introduction to Python Editors & IDE's (Canopy, Pycharm, Jupyter, Rodeo, Ipython etc…) Video
- Work around Jupiter Notebook and its customized settings Video
- Importing Packages (NumPy, SciPy, scikit-learn, Pandas, Matplotlib, etc) Video
- Data Types & Data objects/structures Video
- Strings in Python Video
- Tuples in Python Video
- Installing & loading Packages & Name Spaces Video
- Lists in Python Video
- Dictionaries Video
- Variable Types and Values Video
- Reading and writing data (Importing and Exporting) Video
- Importing Data from various sources (Csv, txt, excel, access etc) Video
- Database Input (Connecting to database) Video
- Viewing Data objects - Subsetting, methods Video
- Viewing Data objects - Subsetting, methods Video
- Important python modules: Pandas, beautiful soup Video
- Python Fundamentals Assignment Assignment
- Python Fundamentals Quiz Quiz
- Data Analysis and Visualization steps Video
- Creating graphs Video
- Bar chart Video
- Pie chart Video
- Line chart • Histogram • Boxplot • Scatter • Density Video
- Introduction to model building steps Video
- Data exploration and validation Video
- Descriptive statistics, Frequency Tables and summarization Video
- Univariate Analysis (Distribution of data & Graphical analysis) Video
- Bivariate Analysis (Cross Tabs, Distributions & Relationships, Graphical analysis) Video
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