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Overview

By enroling in Python Data Science, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.

The Python Data Science course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Python Data Science course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Python Data Science Program.

So enrol in our Python Data Science course right away if you’re keen to envision yourself in a rewarding career.

Description

Enroling in this Python Data Science course can improve your Python Data Science perspective, regardless of your skill levels in the Python Data Science topics you want to master. If you’re already a Python Data Science expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Python Data Science insights that will help you make the most of your time. This Python Data Science course will act as a guide for you if you’ve ever wished to excel at Python Data Science.

Why Choose Us?​​

Certificate of Achievement

Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.

Who Is This Course For?​

This Python Data Science course is a great place to start if you’re looking to start a new career in Python Data Science field. This training is for anyone interested in gaining in-demand Python Data Science proficiency to help launch a career or their business aptitude. 

Requirements​

The Python Data Science course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Python Data Science, without any fuss.

Career Path​

This Python Data Science training will assist you develop your Python Data Science ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Python Data Science professional story and personalise your path to a new career. Furthermore, developing this Python Data Science skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.

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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 00:00:00

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