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Data Science with Python

Course Overview Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no …

Data Science with Python

Original price was: $417.25.Current price is: $32.69.

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1 Year Access

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7 Students

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6 hours, 20 minutes

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Course Overview

Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no further; you’ve come to the right place!

Our easy-to-follow Data Science with Python will provide you with all the deep knowledge and insight you need to know about this topic. This comprehensive course has been broken down into several manageable modules, which we believe will assist you to easily grasp each concept – from the fundamental to the more advanced aspects of the course. 

Learn the most in-demand skills from the safety & comfort of your home. Enjoy the freedom to learn at your own comfortable pace and prepare yourself for the market of the future.

Learning Outcomes

Whether you are an aspiring professional or a complete beginner, this course will improve your expertise and boost your CV with key skills and an accredited certification attesting to your knowledge. 

Entry Requirement

    • This course is available to all learners of all academic backgrounds.
    • Learners should be aged 16 or over to undertake the qualification.
    • Some basic understanding of the English language and numeracy.  

Certification

After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can, however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £29 or in PDF format at the cost of £19.

    • PDF certificate’s turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days

Career path

Data Science with Python is a useful qualification to possess and would be beneficial for any related profession or industry. 

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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