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Python Data Science with Numpy, Pandas and Matplotlib
Course overview Learn about Python Data Science with Numpy, Pandas and Matplotlib quickly and enhance your skills. You will understand …
Get This Course and 1500+ others for only £49 Per Year Find Out More
Course overview
Learn about Python Data Science with Numpy, Pandas and Matplotlib quickly and enhance your skills. You will understand Python Data Science with Numpy, Pandas and Matplotlib and its key areas, covering the fundamentals and beyond. The Python Data Science with Numpy, Pandas and Matplotlib] course is divided into small modules that are easy to grasp even by complete beginners. Plus, the Python Data Science with Numpy, Pandas and Matplotlib course comes with tutor support, so if you have any questions related to Python Data Science with Numpy, Pandas and Matplotlib, you can ask them via live chat or email.
Completing this Python Data Science with Numpy, Pandas and Matplotlib course will give you the confidence to stand out to prospective employers in the Python Data Science with Numpy, Pandas and Matplotlib industry & other relevant sectors, climb up the career ladder and boost your earning potential in no time.
Enrol in the Python Data Science with Numpy, Pandas and Matplotlib course today and invest in your bright future.
- CPD accredited.
- Immediate e-certificate on successful completion.
- Hard copy of the certificate is obtainable too.
- Personalised Learning.
- Developed by Professional Experts.
- 24/7 access across all major devices, you can study anywhere.
- 24/7 learning assistance.
- Regularly updated content.
What's inside
Who is this course for?
Anyone with an interest in Python Data Science with Numpy, Pandas and Matplotlib will find this course valuable. Whether you are a student/ aspiring professional aiming to explore your opportunities in Python Data Science with Numpy, Pandas and Matplotlib sectors, then this Python Data Science with Numpy, Pandas and Matplotlib] course might just be the perfect opportunity for you.
Certification
After successfully completing the Python Data Science with Numpy, Pandas and Matplotlib course, you can apply for a CPD accredited course in both digital & physical format.
The pricing for the Python Data Science with Numpy, Pandas and Matplotlib course completion certificate is as follows:
- Python Data Science with Numpy, Pandas and Matplotlib PDF certificate - £6.99
- Python Data Science with Numpy, Pandas and Matplotlib Printed Hard Copy certificate - £11.99
- Python Data Science with Numpy, Pandas and Matplotlib Both (PDF + Hard Copy) - £15.99
Learning outcomes
- Explore a diverse range of aspects of this field after the successful completion of the Python Data Science with Numpy, Pandas and Matplotlib course
- Get inside-out knowledge on Python Data Science with Numpy, Pandas and Matplotlib topic from the industry experts
- Acquire skills that will help you to explore many opportunities
Career path
Complete your Python Data Science with Numpy, Pandas and Matplotlib course successfully and develop yourself to enhance your chances of succeeding in Python Data Science with Numpy, Pandas and Matplotlib sectors and other relevant fields.
Course Curriculum
| Course Introduction and Table of Contents | |||
| Course Introduction and Table of Contents | 00:09:00 | ||
| Introduction to Python, Pandas and Numpy | |||
| Introduction to Python, Pandas and Numpy | 00:07:00 | ||
| System and Environment Setup | |||
| System and Environment Setup | 00:08:00 | ||
| Python Strings | |||
| Python Strings – Part 1 | 00:11:00 | ||
| Python Strings – Part 2 | 00:09:00 | ||
| Python Numbers and Operators | |||
| Python Numbers and Operators – Part 1 | 00:06:00 | ||
| Python Numbers and Operators – Part 2 | 00:07:00 | ||
| Python Lists | |||
| Python Lists – Part 1 | 00:05:00 | ||
| Python Lists – Part 2 | 00:06:00 | ||
| Python Lists – Part 3 | 00:05:00 | ||
| Python Lists – Part 4 | 00:07:00 | ||
| Python Lists – Part 5 | 00:07:00 | ||
| Tuples in Python | |||
| Tuples in Python | 00:06:00 | ||
| Sets in Python | |||
| Sets in Python – Part 1 | 00:05:00 | ||
| Sets in Python – Part 2 | 00:04:00 | ||
| Python Dictionary | |||
| Python Dictionary – Part 1 | 00:07:00 | ||
| Python Dictionary – Part 2 | 00:05:00 | ||
| NumPy Library - Introduction | |||
| NumPy Library Intro – Part 1 | 00:05:00 | ||
| NumPy Library Intro – Part 2 | 00:05:00 | ||
| NumPy Library Intro – Part 3 | 00:06:00 | ||
| NumPy Array Operations and Indexing | |||
| NumPy Array Operations and Indexing – Part 1 | 00:04:00 | ||
| NumPy Array Operations and Indexing – Part 2 | 00:06:00 | ||
| NumPy Multi-Dimensional Arrays | |||
| NumPy Multi-Dimensional Arrays – Part 1 | 00:07:00 | ||
| NumPy Multi-Dimensional Arrays – Part 2 | 00:07:00 | ||
| NumPy Multi-Dimensional Arrays – Part 3 | 00:05:00 | ||
| Introduction to Pandas Series | |||
| Introduction to Pandas Series | 00:08:00 | ||
| Introduction to Pandas Dataframes | |||
| Introduction to Pandas Dataframes | 00:07:00 | ||
| Pandas Dataframe conversion and drop | |||
| Pandas Dataframe conversion and drop – Part 1 | 00:06:00 | ||
| Pandas Dataframe conversion and drop – Part 2 | 00:06:00 | ||
| Pandas Dataframe conversion and drop – Part 3 | 00:07:00 | ||
| Pandas Dataframe summary and selection | |||
| Pandas Dataframe summary and selection – Part 1 | 00:06:00 | ||
| Pandas Dataframe summary and selection – Part 2 | 00:06:00 | ||
| Pandas Dataframe summary and selection – Part 3 | 00:07:00 | ||
| Pandas Missing Data Management and Sorting | |||
| Pandas Missing Data Management and Sorting – Part 1 | 00:07:00 | ||
| Pandas Missing Data Management and Sorting – Part 2 | 00:07:00 | ||
| Pandas Hierarchical-Multi Indexing | |||
| Pandas Hierarchical-Multi Indexing | 00:06:00 | ||
| Pandas CSV File Read Write | |||
| Pandas CSV File Read Write – Part 1 | 00:05:00 | ||
| Pandas CSV File Read Write – Part 2 | 00:07:00 | ||
| Pandas JSON File Read Write | |||
| Pandas JSON File Read Write Operations | 00:07:00 | ||
| Pandas Concatenation Merging and Joining | |||
| Pandas Concatenation Merging and Joining – Part 1 | 00:05:00 | ||
| Pandas Concatenation Merging and Joining – Part 2 | 00:04:00 | ||
| Pandas Concatenation Merging and Joining – Part 3 | 00:04:00 | ||
| Pandas Stacking and Pivoting | |||
| Pandas Stacking and Pivoting – Part 1 | 00:06:00 | ||
| Pandas Stacking and Pivoting – Part 2 | 00:05:00 | ||
| Pandas Duplicate Data Management | |||
| Pandas Duplicate Data Management | 00:07:00 | ||
| Pandas Mapping | |||
| Pandas Mapping | 00:04:00 | ||
| Pandas Grouping | |||
| Pandas Groupby | 00:06:00 | ||
| Pandas Aggregation | |||
| Pandas Aggregation | 00:09:00 | ||
| Pandas Binning or Bucketing | |||
| Pandas Binning or Bucketing | 00:08:00 | ||
| Pandas Re-index and Rename | |||
| Pandas Re-index and Rename – Part 1 | 00:04:00 | ||
| Pandas Re-index and Rename – Part 2 | 00:05:00 | ||
| Pandas Replace Values | |||
| Pandas Replace Values | 00:05:00 | ||
| Pandas Dataframe Metrics | |||
| Pandas Dataframe Metrics | 00:07:00 | ||
| Pandas Random Permutation | |||
| Pandas Random Permutation | 00:08:00 | ||
| Pandas Excel sheet Import | |||
| Pandas Excel sheet Import | 00:07:00 | ||
| Pandas Condition Selection and Lambda Function | |||
| Pandas Condition Selection and Lambda Function – Part 1 | 00:05:00 | ||
| Pandas Condition Selection and Lambda Function – Part 2 | 00:05:00 | ||
| Pandas Ranks Min Max | |||
| Pandas Ranks Min Max | 00:06:00 | ||
| Pandas Cross Tabulation | |||
| Pandas Cross Tabulation | 00:07:00 | ||
| Matplotlib Graphs and plots | |||
| Graphs and plots using Matplotlib – Part 1 | 00:06:00 | ||
| Graphs and plots using Matplotlib – Part 2 | 00:02:00 | ||
| Matplotlib Histograms | |||
| Matplotlib Histograms | 00:03:00 | ||
Frequently Asked Questions
Upon subscribing you will get unlimited access to more than 2000 courses
Yes, once you purchase the course, you have lifetime access to all content and updates.
All courses come with dedicated support for any questions or technical issues.
All courses come with dedicated support for any questions or technical issues.
All courses come with dedicated support for any questions or technical issues.
All courses come with dedicated support for any questions or technical issues.
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