Data Analytics Using Python Course - GitHub
Course
DURATION
12 weeks
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
Distance Learning
Key Summary
Develop the fundamental Python programming knowledge and skills required to complete advanced analytics.
Develop practical data analytics skills using Python
Do you want to get started with advanced analytics and learn how to leverage Python? As businesses increasingly rely on technology to carry out complex mathematical calculations, data professionals need strong quantitative skills and a high-level understanding of the models used and how they can be employed to solve challenges.
This ExpertTrack will help you to progress your career in data analytics using Python; a programming language that allows you to work quickly and integrate systems effectively.
Learn how to collect, manipulate, and organise data
In order to be valuable, the data produced by an organisation must be organised and structured in a way that can be analysed to draw conclusions.
You’ll learn the importance of collecting, organising and manipulating large amounts of data using databases and other technologies.
Explore the data applications of Python
This series of courses will teach you how to develop and utilise critical elements of Python, and demonstrate data ingestion using Python and various data types and sources.
By the end of this ExpertTrack, you’ll have a deeper understanding of working with data and analytics, and foundational knowledge of Python.
Expand your career options in the data industry and beyond
The global big data industry is worth over $100 billion and is set to almost double by 2025, providing a huge number of lucrative and rewarding career options around the world.
But, data skills are in demand across almost every industry. According to PWC, finance, insurance, healthcare, manufacturing, professional services, and retail trade all have a high demand for data-driven decision-makers, functional analysts, data engineers, and data analysts.
Combining an understanding of data analysis with coding abilities is another way to stand out as a candidate and boost your long-term career prospects.
Key skills you will learn
- Python
- Data Analytics
- Advanced data analytics
- Data wrangling
- Descriptive statistics
- Fundamental statistics
ExpertTrack course overview
- Data Analytics Using Python: Statistics and Analytics Fundamentals
Learn the fundamentals of statistics and data analysis using Python - Data Analytics Using Python: Learning Python Functions
Expand your advanced analytics skills using Python - you can explore data ingestion with CRISP-DM methodology. - Data Analytics Using Python: Data Wrangling and Ingestion
Enhance your understanding of Python by diving deeper into functions including data wrangling, manipulation and transformation.
How ExpertTracks work
Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award that proves your expertise.
| Join a free 7-day trial Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week. | Keep learning for $39/month Pay a monthly subscription fee of $39 for as long as it takes you to complete the ExpertTrack. You can learn at your own pace and cancel at any time. | Earn digital certificates Receive a certificate for every completed course and pass the final assessment to earn a digital certificate that you can share with your professional network. | Become an expert Use your specialist training to progress further in your career or build expertise in areas you’re passionate about. |
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Who will you learn with?
Ed Marks
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.
World-class learning with
FutureLearn
The social learning platform with hundreds of online courses from a quarter of the world’s top universities.
GitHub
With insights provided by leading industry technology partner Github, learn to drive business success through software development.
Start learning today - free 7-day trial
After your free trial you can:
- Pay $39 per month to keep learning online
- Have complete control over your subscription; you can cancel any time
- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
- Complete online assessments to test your knowledge and prove your skills
- Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
- Keep access to the content of courses you complete even after your subscription ends
Learning outcomes
By the end of the ExpertTrack, you’ll be able to:
- Compare data analytics and advanced data analytics.
- Develop and utilise critical elements of the programming language, Python.
- Build and apply practical skill sets to complete data exploration and visualisation.
- Demonstrate data ingestion using Python and various data types and data sources.
- Demonstrate various data processing activities using data query language and data manipulation language.
Experience requiredThere are no prerequisites to enrol on this data analytics course, but it’s recommended that you have some prior knowledge or experience working with data statistics, using spreadsheets. During the ExpertTrack, we’ll be using Jupyter notebook We recommend you use a computer to access the courses in this ExpertTrack. | Getting startedOn this ExpertTrack, you’ll become familiar with analytics techniques and the best-practice use cases of each, while developing fundamental Python programming knowledge and skill. It’s suitable for:
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