Python Data Science
Python Data Science
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1 Year Access 
Intermediate
3 Students -
6 hours, 20 minutes
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Learning Outcome
- Learn about the fundamentals of Python Data Science.
- Know about system and environment setup.
- Understand Python numbers and operators.
- Familiarise yourself with python lists.
- Know about sets in Python.
- Deepen your knowledge of Lambda Functions.
- Understand a lot about Panda.
- Discover and get familiar with many more of Python.
Description
The Python Data Science is the best way for you to gain deep insight and knowledge of this topic. You will learn from industry experts and obtain an accredited certificate after completing the course. Enrol now for a limited-time discounted price.
Like all the courses of One Education, this Python Data Science is designed with the utmost attention and thorough research. All the topics are broken down into easy to understand bite-sized modules that help our learners to understand each lesson very easily.
We don’t just provide courses at One Education; we provide a rich learning experience. After purchasing a course from One Education, you get complete 1-year access with tutor support.
Our expert instructors are always available to answer all your questions and make your learning experience exquisite.
After completing the Python Data Science, you will instantly get an e-certificate that will help you get jobs in the relevant field and will enrich your CV.
If you want to learn about this topic and achieve certifications, simply enrol this Python Data Science from One Education.
Why People Love and Enrol in The Python Data Science from One Education
- Instantly accessible CPD-accredited certificate on successful completion of this Python Data Science
- 24/7 access to the course for 12 months
- Study at your own pace
- No hidden fees or exam charges
- Full Tutor support on weekdays (Monday – Friday)
- Efficient assessment and instant results
Course design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
How is the course assessed?
Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15.
Will I receive a certificate of completion?
Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15.
Why study this course
Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge.
The Python Data Science is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.
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 | ||
| Order Your Certificate | |||
| Order Your Certificate Now | 00:00:00 | ||
With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn are applicable to your career aspirations, whether that’s in management, administration or beyond.
