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About This Course
- Overview
Educational accomplishments and income are closely correlated. Education and skill with endorsed certificates from credible and renowned authorities typically lead to better jobs with attractive salaries. Educated and skilled workers also have lower rates of unemployment. Therefore, skills and endorsed certificates to showcase are essential for people early in their careers.
- Why Choose Imperial Academy?
Imperial Academy offers this premium Python Data Science with Numpy, Pandas and Matplotlib course to ensure security in your career. In addition, this comprehensive Python Data Science with Numpy, Pandas and Matplotlib course will assist you in building relevant skills that will help you find a job in the related sectors. Also, the Certificate you’ll get after completing the Python Data Science with Numpy, Pandas and Matplotlib will put your head and shoulder above others in front of potential employers.
Become the person who would attract the results you seek. What you plant now, you will harvest later. So, grab this opportunity and start learning Python Data Science with Numpy, Pandas and Matplotlib!
- What Imperial Academy Offers You
- QLS/ CPD/ CIQ Accredited
- 24/7 Assistance from our Support Team
- 100% Online
- Self-paced course
- Bite-sized Audio-visual Modules
- Rich Learning Materials
- Developed by Industry Specialists
- Career Guidance
- Course Design
Learn at your own pace from the comfort of your home, as the rich learning materials of this premium course is accessible from any place at any time. The advanced course curriculums are divided into tiny bite-sized audio-visual modules by industry specialists with years of experience behind them.
- Audio-visual Lessons
- Online Study Materials
Course Curriculum
-
Course Introduction and Table of Contents
00:09:00
-
Introduction to Python, Pandas and Numpy
00:07:00
-
System and Environment Setup
00:08:00
-
Python Strings – Part 1
00:11:00
-
Python Strings – Part 2
00:09:00
-
Python Numbers and Operators – Part 1
00:06:00
-
Python Numbers and Operators – Part 2
00:07:00
-
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
00:06:00
-
Sets in Python – Part 1
00:05:00
-
Sets in Python – Part 2
00:04:00
-
Python Dictionary – Part 1
00:07:00
-
Python Dictionary – Part 2
00:07:00
-
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 – Part 1
00:04:00
-
NumPy Array Operations and Indexing – Part 2
00:06:00
-
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
00:08:00
-
Introduction to Pandas Dataframes
00:07:00
-
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 – 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 – Part 1
00:07:00
-
Pandas Missing Data Management and Sorting – Part 2
00:07:00
-
Pandas Hierarchical-Multi Indexing
00:06:00
-
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 Operations
00:07:00
-
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 – Part 1
00:06:00
-
Pandas Stacking and Pivoting – Part 2
00:05:00
-
Pandas Duplicate Data Management
00:07:00
-
Pandas Mapping
00:04:00
-
Pandas Groupby
00:06:00
-
Pandas Aggregation
00:09:00
-
Pandas Binning or Bucketing
00:08:00
-
Pandas Re-index and Rename – Part 1
00:04:00
-
Pandas Re-index and Rename – Part 2
00:05:00
-
Pandas Replace Values
00:05:00
-
Pandas Dataframe Metrics
00:07:00
-
Pandas Random Permutation
00:08:00
-
Pandas Excel sheet Import
00:07:00
-
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
00:06:00
-
Pandas Cross Tabulation
00:07:00
-
Graphs and plots using Matplotlib – Part 1
00:06:00
-
Graphs and plots using Matplotlib – Part 2
00:02:00
-
Matplotlib Histograms
00:03:00
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