This course is part of the Data Analytics Using Python ExpertTrack
Data Analytics Using Python: Learning Python Functions
Expand your advanced analytics skills using Python - you can explore data ingestion with CRISP-DM methodology.
- Duration4 weeks
- Weekly study4 hours
- Included in an ExpertTrackCourse 2 of 3
Data Analytics Using Python: Learning Python Functions
On this informative course created in collaboration with Github, you’ll further your understanding of data analysis, and become more familiar with Python programming.
Explore and learn the features of Python programming
This course is designed to make you a more confident Python user, following your introduction to the fundamentals of Python.
You’ll gain confidence using the Module, Packages and Libraries in Python, and use Python’s Date Time data, and Numpy and Pandas packages.
Discover data ingestion using Python
You’ll practice ingesting data from various data types and sources using Python, so it’s ready to be further analysed. Adding Python programming to your skills can make this a quicker and easier process, offering you efficiencies and new ways to manipulate the data.
By the end of the course, you’ll be able to demonstrate that you can use Python functions in various ways.
Syllabus
Week 1
Python modules and packages and getting started with NumPy
Introduction
Introduction to the week
Python Modules and Packages
It is time to start thinking about how Python can be useful for data analysis. Here, you will explore some more aspects, such as modules and packages, that you can use for your analysis.
Getting Started with NumPy
As mentioned previously, you will be leveraging NumPy as one of your Python libraries in this activity. Have fun exploring the various features that Python’s NumPy library has to offer!
Wrap-up
To complete the week, let’s recap the key points covered so far.
Week 2
Getting started with Pandas
Introduction
Introduction to the week
Getting Started with Pandas
After spending an entire week understanding NumPy, as most of these packages are built on NumPy next step would be to leverage Pandas and other high-level packages for your everyday data analysis.
Wrap-up
To complete the week, let’s recap the key points covered so far.
Week 3
Data ingestion using Python I
Introduction
Introduction to the week.
What is data ingestion?
Before you can analyse and understand data, you need to collect it. The initial phase of data collection is called data ingestion. Learn more about data ingestion and how you can use Python to collect data from various sources.
Data ingestion using Python
Look closer at some crucial aspects of ingesting data using Python. Learn how loading data has different methods and codes for the respective formats of files.
Wrap-up
Wrap up of this week's concepts.
Week 4
Data ingestion using Python II
Welcome to Week 4
Introduction to the week.
Data ingestion continued
After learning to load the text format files such as data in the CSVs or tabular formats, learn to ingest or load data in JSON, HTML, XML, and SQL databases. Additionally, learn to write data files too!
Wrap-up
Wrap up of the course, complete the final assessment, and look to what's next.
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What will you achieve?
By the end of the course, you‘ll be able to...
- Describe what Modules, Packages and Libraries are in Python
- Use Date Time data in Python
- Use the Numpy and Pandas packages of Python
- Demonstrate data ingestion using Python and various data types and data sources
Who is the course for?
This course is suitable for:
- business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to progress their careers in data analytics
- those with existing programming capabilities looking to enter the data analytics field
- individuals lacking the programming capabilities to conduct more advanced data analysis and modelling
What software or tools do you need?
During the ExpertTrack we’ll be using Jupyter notebook. We recommend you use a computer to access these elements.
Who will you learn with?
I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science/Analysis.
Who developed the course?
FutureLearn
FutureLearn is jointly owned by The Open University and The SEEK Group and has been providing online courses for learners around the world over the last eight years.
In collaboration with
Endorsed by
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Learning on FutureLearn
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