Overview
This comprehensive course on Python Data Science with Numpy Pandas and Matplotlib will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This Python Data Science with Numpy Pandas and Matplotlib comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast-track your career ladder.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is this course for?
There is no experience or previous qualifications required for enrolment on this Python Data Science with Numpy Pandas and Matplotlib. It is available to all students, of all academic backgrounds.
Requirements
Our Python Data Science with Numpy Pandas and Matplotlib is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career path
Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to—
- Open doors of opportunities
- Increase your adaptability
- Keep you relevant
- Boost confidence
And much more!
Course Curriculum
- 37 sections
- 74 lectures
- 00:00:00 total length
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Course Introduction and Table of Contents 00:10:00
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Introduction to Python, Pandas and Numpy 00:07:00
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System and Environment Setup 00:08:00
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Python Strings – Part 1 00:11:00
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Python Strings – Part 2 00:09:00
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Python Numbers and Operators – Part 1 00:07:00
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Python Numbers and Operators – Part 2 00:07:00
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Python Lists – Part 1 00:05:00
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Python Lists – Part 2 00:06:00
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Python Lists – Part 3 00:05:00
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Python Lists – Part 4 00:07:00
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Python Lists – Part 5 00:07:00
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Tuples in Python 00:06:00
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Sets in Python – Part 1 00:05:00
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Sets in Python – Part 2 00:04:00
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Python Dictionary – Part 1 00:07:00
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Python Dictionary – Part 2 00:07:00
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NumPy Library Intro – Part 1 00:05:00
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NumPy Library Intro – Part 2 00:05:00
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NumPy Library Intro – Part 3 00:06:00
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NumPy Array Operations and Indexing – Part 1 00:04:00
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NumPy Array Operations and Indexing – Part 2 00:06:00
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NumPy Multi-Dimensional Arrays – Part 1 00:07:00
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NumPy Multi-Dimensional Arrays – Part 2 00:06:00
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NumPy Multi-Dimensional Arrays – Part 3 00:05:00
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Introduction to Pandas Series 00:08:00
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Introduction to Pandas Dataframes 00:07:00
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Pandas Dataframe conversion and drop – Part 1 00:06:00
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Pandas Dataframe conversion and drop – Part 2 00:06:00
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Pandas Dataframe conversion and drop – Part 3 00:07:00
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Pandas Dataframe summary and selection – Part 1 00:06:00
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Pandas Dataframe summary and selection – Part 2 00:06:00
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Pandas Dataframe summary and selection – Part 3 00:07:00
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Pandas Missing Data Management and Sorting – Part 1 00:07:00
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Pandas Missing Data Management and Sorting – Part 2 00:07:00
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Pandas Hierarchical-Multi Indexing 00:06:00
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Pandas CSV File Read Write – Part 1 00:05:00
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Pandas CSV File Read Write – Part 2 00:07:00
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Pandas JSON File Read Write Operations 00:07:00
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Pandas Concatenation Merging and Joining – Part 1 00:05:00
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Pandas Concatenation Merging and Joining – Part 2 00:04:00
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Pandas Concatenation Merging and Joining – Part 3 00:04:00
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Pandas Stacking and Pivoting – Part 1 00:06:00
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Pandas Stacking and Pivoting – Part 2 00:05:00
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Pandas Duplicate Data Management 00:07:00
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Pandas Mapping 00:04:00
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Pandas Groupby 00:06:00
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Pandas Aggregation 00:09:00
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Pandas Binning or Bucketing 00:08:00
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Pandas Re-index and Rename – Part 1 00:05:00
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Pandas Re-index and Rename – Part 2 00:05:00
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Pandas Replace Values 00:05:00
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Pandas Dataframe Metrics 00:07:00
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Pandas Random Permutation 00:08:00
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Pandas Excel sheet Import 00:07:00
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Pandas Condition Selection and Lambda Function – Part 1 00:05:00
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Pandas Condition Selection and Lambda Function – Part 2 00:06:00
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Pandas Ranks Min Max 00:06:00
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Pandas Cross Tabulation 00:07:00
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Graphs and plots using Matplotlib – Part 1 00:06:00
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Graphs and plots using Matplotlib – Part 2 00:02:00
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Matplotlib Histograms 00:03:00
Python Data Science with Numpy Pandas and Matplotlib
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ALL COURSES FOR - £99 This course includes:
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Duration:6 hours, 24 minutes
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Access:1 year access
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Level:Intermediate
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CPD Points:10
