Data Analysis and Fundamental Statistics
Offered By: FutureLearn
Course Description
Overview
Do you want to build the most in-demand skills for today’s job market?
Data analysis has become an essential business skill in recent years. Learn the basics, expand your knowledge of Excel, and learn how to tell stories with data in this self-paced course.
You don’t need any prior knowledge to benefit from this course - just a desire to clarify and act on your organisation’s data.
Discover the benefits of data analysis
Data analytics is one of the most in-demand professions of the decade and forecasters expect the sector to grow even further.
This course will help you identify the benefits of data analysis, both to your organisation and your career. You’ll develop the skills, knowledge, and confidence to gain a competitive edge at your current job or in the job market.
Use Excel to achieve your objectives
It’s likely you already have one of the most powerful data analysis tools on your computer, and it’s also likely that you don’t use it to its full potential.
This course will help you identify the right Excel formula to achieve your objectives in importing, cleaning, analysing, and manipulating data sets.
Explore data analytics fundamentals and basic statistics
Data analysis employs a lot of statistics skills – even machine learning is often underpinned by fundamental statistical principles. This course will put you on firm mathematical grounding so that you can build your data analysis skills on a strong foundation.
Upon completion of this course, you’ll have a sound set of skills in basic data analytics, Excel, and statistics, and will be ready to move onto tidying data and creating databases.
This course is for professionals who require data analytics skills at work, and learners who are interested in moving to a data analytics career.
These may include:
- Early-stage or aspiring data or business analyst looking to boost their qualitative and quantitative data analysis skills.
- Business professional working in a role that requires data analytics skills.
- Business or arts graduate looking to start their first professional role by adding required quantitative skills such as data analysis.
During the course we’ll be using DB Browser for SQLite and Excel. If you don’t have Excel, you might find this online version useful.
We recommend you use a computer to access this course.
Syllabus
- Introduction to data analytics
- Introduction to the course
- What is data analytics?
- Types of analytics
- Wrap-up
- Data analytics projects
- Introduction to data analytics projects
- Data-driven decision-making
- Data analytics process and tools
- Wrap-up
- Descriptive statistics for data analytics
- Introduction to descriptive statistics for data analytics
- Describing data
- Measures of spread
- Wrap-up
- The shape of your data
- Introduction to understanding the shape of your data
- Visualising data
- Interpreting data visualisation
- Wrap-up
Taught by
Jacques Haasbroek
Related Courses
Design Computing: 3D Modeling in Rhinoceros with Python/RhinoscriptUniversity of Michigan via Coursera 3D SARS-CoV-19 Protein Visualization With Biopython
Coursera Project Network via Coursera Access Bioinformatics Databases with Biopython
Coursera Project Network via Coursera Accounting Data Analytics
University of Illinois at Urbana-Champaign via Coursera Lean Data Approaches to Measure Social Impact
Acumen Academy