Overview
After completing this course, you will have an array of abilities to secure your dream career. Furthermore, you will gain free access to all of the materials in this course for a whole year and will learn a plethora of highly sought-after abilities to advance your career.
With this complete and thorough course, you’ll have all of your questions addressed and all of the knowledge you need. Aside from preparing you for success, this course provides various benefits to make your learning experience more enjoyable and less tiring. So, add this course to your cart and boost your expertise!
Why Choose Study Booth?
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Learn using compelling voice-over and graphic elements to help you along the way. -
Get a year’s worth of unlimited access to the course. -
Get expert assistance 24 hours a day, seven days a week. -
Take part in quick assessments and receive immediate feedback on your progression. -
You can study on your own time and from the comfort of your own home.
Who Is This Course For?
Those who want to improve their professional skills while preparing for a specific job can take advantage of this opportunity! This course will assist you to stay updated on the newest advancements and will coach you accordingly. So, if you want the best training possible, invest in this course.
Requirements
No formal entry or relevant experience is required for this course!
This training is open to everyone who is willing to learn. All you need is –
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A smart device that has a constant internet connection -
A strong desire to learn the topic -
And being over the age of 16
Career Path
Use this all-inclusive course to gain the knowledge and abilities you’ll need to succeed in the job.
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 | 00:07:00 | ||
| 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 | 00:06:00 | ||
| 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 | ||
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Offer Ends in
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Access01 Year
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LevelLevel 3
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Students2
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Duration6 hours, 20 minutes