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Data Analysis with Python and Pandas Online Bundle, 3 Certificate Courses

Get yourself work-ready in one of the most in-demand job skills

Get Data Analysis with Python and Pandas, Data Protection, and Data Visualisation with Python and Matplotlib in this Bundle

1. Data Analysis with Python and Pandas: Get yourself work-ready in one of the most in-demand job skills 

As a Python programmer, you already know that this general purpose programming language, as used by Google, Pinterest and Instagram to name a few, is the most accessible and versatile coding language out there. So why not use the Python knowledge you already have to get yourself work-ready in one of the most in-demand job skills of the moment, data analysis?

Be a Data Goldminer

These days, almost every company we interact with gathers data on us. However to benefit from this vast mine of information, businesses need skilled experts like you to interpret their data so they can boost their profits and improve their customer experience. By learning to efficiently analyse data, manipulate data sets and master data mining in Python, you’ll not only be at the forefront of this exciting and ever-expanding new career option, you’ll gain a brand new skill set that can also be used for various other applications.

Learn in Your Spare Time

With 51 easy-to-access lectures across six hours of video, the Data Analysis with Python and Pandas course is accessible at a time and a place that suits you. Not only that, informal style makes learning a pleasure. With Python installed and a knowledge of the language, you are all set to start your journey in a much in-demand new career in data analysis.

2. Data Protection: Learn all there i to know about data protection

Whether you’re a business owner or someone who deals with data within a larger organisation, complying with the Data Protection Act is a crucial responsibility, one that if neglected could cost your business dearly in legal fees following a breach. This short, online course is designed to teach individuals and businesses what they need to know to meet their responsibilities with regards to the Data Protection Act.

What Does the Course Cover?

Although most people are familiar with the phrase ‘data protection’, many are unsure what it actually means and are daunted by the prospect of finding out. Over five easy-to-engage with modules, you’ll be guided through exactly what the Data Protection Act is and how it applies to your organisation. In the digital age, businesses are gathering more data than ever on customers and clients, and it is of paramount importance that this data is dealt with correctly to ensure confidentiality and avoid the disaster a breach can cause.

How Do I Learn?

All study takes place online, meaning you are free to study at your own pace with no deadlines to meet or fixed-time class to attend. Not only that, access to the course content is for 12 months, meaning you can return to a module when a situation arises at work where you need to check your knowledge of the Data Protection Act.

3. Data Visualisation with Python and Matplotlib: Understand big data in its original form

These days, all big companies are focussed on gathering data on their customers to improve their service and ultimately make more money. Due to this, the ability to understand big data in its original form and present it in a meaningful and useful way through data visualisation is a much in-demand skill in the modern workplace. This data visualization online course enables learners to translate data into easy-to-read, accessible charts, graphs and other visual representations of the vast banks of data that companies wish to benefit from.

Monetise your Python Skills

Designed with those who already have a working knowledge of Python programming in mind, this course builds on those Python 3 skills by working in conjunction with Matplotlib, a plotting library that works seamlessly with the Python programming language and its numerical mathematics extension, NumPy, to turn data into visually digestible graphs. The ability to do this is a great way to build on the Python skills you already possess to open the door to exciting new career opportunities.

Easy-to-Access eLearning

The world of big data can be daunting to get your head round, 58 easy-to-digest lectures over seven hours of video content, you can be well on track to mastering the subject of data visualisation in less than a day, at a time and in a place that suits you.

For comprehensive information on units of study click the units of study tab above.

This is an incredible opportunity to invest in yourself and your future, sharpen your training skills and learn what it takes to create your own success with CoursesForSuccess.com Today!

Course Fast Facts:

  1. All courses are easy to follow and understand
  2. 12 Month access to course materials
  3. Study as many courses as you want
  4. Delivered 100% on-line and accessible 24/7 from any computer or smartphone
  5. You can study from home or at work, at your own pace, in your own time

Course Delivery

Courses are accessed online by any device including PC, tablet or Smart Phone. Upon purchase an automated welcome email will be sent to you (please check your junk email inbox if not received as this is an automated email), in order for you to access your online course, which is Available 24/7 on any computer or smart mobile device. 

Recognition & Accreditation

All students who complete the course receive a downloadable certificate of completion per course.

The Data Analysis with Python and Pandas Online 3 Course Bundle includes the following courses, below is a summary of each course: 

Course 1 - Certificate in Data Analysis with Python and Pandas Online Course

Introduction to the Course

  • Course Introduction
  • Getting Pandas and Fundamentals

Introduction to Pandas

  • Section introduction
  • Creating and Navigating a Dataframe
  • Slices, head and tail
  • Indexing
  • Visualizing The Data
  • Converting To Python List Or Pandas Series
  • Section Conclusion

IO Tools

  • Section introduction
  • Read Csv And To Csv
  • io operations
  • Read_hdf and to_hdf
  • Read Json And To Json
  • Read Pickle And To Pickle
  • Section Conclusion

Pandas Operations

  • Pandas Operations
  • Column Manipulation (Operatings on columns, creating new ones)
  • Column and Dataframe logical categorization
  • Statistical Functions Against Data
  • Moving and rolling statistics
  • Rolling apply
  • Section Outro

Handling for Missing Data / Outliers

  • Section Intro
  • drop na
  • Filling Forward And Backward Na
  • detecting outliers
  • Section Conclusion

Combining Dataframes

  • Section Introduction
  • Concatenation
  • Appending data frames
  • Merging dataframes
  • Joining dataframes
  • Section Conclusion

Advanced Operations

  • Section Introduction
  • Basic Sorting
  • Sorting by multiple rules
  • Resampling basics time and how (mean, sum etc)
  • Resampling to ohlc
  • Correlation and Covariance Part 1
  • Correlation and Covariance Part 2
  • Mapping custom functions
  • Graphing percent change of income groups
  • Buffering basics
  • Buffering Into And Out Of Hdf5
  • Section Conclusion

Working with Databases

  • Section Introduction
  • Writing to reading from database into a data frame
  • Resampling data and preparing graph
  • Finishing Manipulation And Graph
  • Section and course Conclusion

Course 2 - Certificate in Data Protection Online Course

Introduction and the 8 Principles of the Data Protection Act 1998

  • What the Data Protection Act 1998 is
  • The purpose of the Act
  • The Eight Principles of the Act
  • The practical implications of the Principles

Information Commissioner’s Office, Registration and Enforcement

  • The role of the Information Commissioner's Office
  • The laws that the Office enforces and its powers
  • The Register and who is required to register
  • What a data controller is and their obligations

The Definitions, Processing and Regulations Surrounding Personal Data

  • The conditions for processing data as required by the DPA
  • The definitions of personal and sensitive data
  • Conditions relating to the usage of personal and sensitive data
  • The requirements surrounding the handling and sharing of data

Creating Policies and Dealing with Breaches and Complaints

  • How data protection applies to organisations
  • What businesses must consider when creating policies and procedures
  • What constitutes a data breach
  • The responsibilities of an organisation that has experienced a data breach

Subject Access Request Exemptions and the EU

  • The reasons organisations may not have to be on the ICO Data Controller's Register
  • Reasons why organisations may refuse to comply with Subject Access Requests
  • The circumstances where data may be disclosed to other organisations
  • New European Union rules regarding data protection

Course 3 - Certificate in Data Visualisation with Python and Matplotlib Online Course

Course Introduction

  • Introduction
  • Getting Matplotlib And Setting Up

Different types of basic Matplotlib charts

  • Section Introduction
  • Basic matplotlib graph
  • Labels, titles and window buttons
  • Legends
  • Bar Charts
  • Histograms
  • Scatter Plots
  • Stack Plots
  • Pie Chart
  • Loading data from a CSV
  • Loading data with NumPy
  • Section Conclusion

Basic Customization Options

  • Section Introduction
  • Source for our Data*
  • Parsing stock prices from the internet*
  • Plotting basic stock data*
  • Modifying labels and adding a grid*
  • Converting from unix time and adjusting subplots*
  • Customizing ticks*
  • Fills and Alpha*
  • Add, remove, and customize spines*
  • Candlestick OHLC charts*
  • Styles with Matplotlib*
  • Creating our own Style*
  • Live Graphs*
  • Adding and placing text*
  • Annotating a specific plot*
  • Dynamic annotation of last price*
  • Section Conclusion

Advanced Customization Options

  • Section Introduction
  • Basic suplot additions*
  • Subplot2grid *
  • Incorporating changes to candlestick graph*
  • Creating moving averages with our data*
  • Adding a High minus Low indicator to graph*
  • Customizing the dates that show*
  • Label and Tick customizations*
  • Share X axis*
  • Multi Y axis*
  • Customizing Legends*
  • Section Conclusion

Geographical Plotting with Basemap

  • Section Introduction
  • Downloading and installing Basemap
  • Basic basemap example
  • Customizing the projection
  • More customization, like colors, fills, and forms of boundaries
  • Plotting Coordinates*
  • Connecting Coordinates*
  • Section Conclusion

3D graphing

  • Section Introduction
  • Basic 3D graph example using wire_frame
  • 3D scatter plots
  • 3D Bar Charts
  • More advanced Wireframe example
  • Section Conclusion

Course Conclusion

  • Conclusion

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet. 

Minimum specifications for the computer are:


  • Microsoft Windows XP, or later
  • Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)


  • OSX/iOS 6 or later
  • Modern and up to date Browser (Firefox, Chrome, Safari)

All systems

  • Internet bandwidth of 1Mb or faster
  • Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)

Students will also need access the following applications:

Adobe Acrobat Reader

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Course Summary

Course ID No.: 006ECDAW3CB
Delivery Mode: Online
Course Access: 12 Months
Time required: Study at your own pace
Assessments: Yes
Qualification: Certificate