Course description

Candidates for this exam are seeking to prove introductory knowledge of how to responsibly manipulate, analyze, and communicate findings of data analysis. Candidates should have at least 150 hours of instruction or hands-on experience with data manipulation, analysis, visualization, and communication. They should be familiar with general data concepts, data-related laws, and responsible analytics practices.

What will I learn?

  • Data Concepts: Understanding data types, data structures, and the data ecosystem.
  • Analytical Thinking: Developing the ability to think analytically and apply data to solve problems.
  • Data Analytics Process: Learning the steps involved in a data analytics project, from data gathering to communicating findings.
  • Data Sourcing: Identifying and collecting data from various structured and unstructured sources.
  • Data Cleaning & Transformation: Skills for cleaning raw data, handling anomalies, and transforming it into a usable format.
  • Programming Languages: Proficiency in tools like Python (with libraries such as pandas and NumPy) or R for data manipulation and analysis.
  • SQL (Structured Query Language): Learning to work with relational databases and write queries to manage and retrieve data.
  • Tools: Using software like Tableau, Power BI, or built-in Excel features to create insightful charts and dashboards.
  • Techniques: Choosing the right visualizations to effectively communicate data insights and tell a story.
  • Descriptive Statistics: Understanding how to summarize and interpret data using basic statistical methods.
  • Inferential Statistics: Learning about parameter estimation, hypothesis testing, and A/B testing.

Requirements

  • Laptop or Desktop
  • Internet
  • Classroom

Frequently Asked Question

You'll learn about: Data types and structures. Using data to solve problems. How to analyze data. Data storytelling with visualizations. Using R programming to supercharge your analysis. Using AI to boost productivity.

Follow these steps to analyze data properly: Establish a goal. First, determine the purpose and key objectives of your data analysis. ... Determine the type of data analytics to use. ... Determine a plan to produce the data. ... Collect the data. ... Clean the data. ... Evaluate the data. ... Visualize the data.

7 data analyst skills SQL. Structured Query Language, or SQL, is the standard language used to communicate with databases. ... Statistical programming. ... Machine learning. ... Probability and statistics. ... Data management. ... Statistical visualization. ... Econometrics.

Once you've gained several years of experience analysing data for a company (or several different companies), you can consider working as a data analytics consultant. Instead of working for a company directly, you'd work as a freelance contractor or for a consulting firm, conducting analysis for a variety of clients.

Data scientists often work with machine learning, deep learning, and advanced statistical modeling, which requires more advanced knowledge. However, pay also depends on experience, location, and the company. Data science roles generally command higher salaries, but data analytics positions are still well-compensated

Watt Fiedin Adams

I am a Ghanaian businessman living in Accra. I am married to Hannah Watt Fiedin (Mrs.) and father to Godstime Watt Fiedin. I am very passionate about Entrepreneurship and aim at creating jobs for the youth. I like teaching and creating teaching contents for others to use. Jesus is my Mentor and Inspiration.

I am a Ghanaian businessman living in Accra. I am married to Hannah Watt Fiedin (Mrs.) and father to Godstime Watt Fiedin.I am very passionate about Entrepreneurship and aim at creating jobs for the youth.I like teaching and creating teaching contents for others to use.Jesus is my Mentor and Inspiration. - 18 years of teaching experience in French Language.- 3 years in Economic Business- 3 years Certified Interpreter/Translator, World Vision International, Ghana, West Africa Region & Global Center- 2 years Certified Translator, HIPPO Transport Ltd.- 3 years of French/English book Authorship.- 1 year as President of the Online Linguistics Trainers Association, Ghana.- 3 years as Chief Executive Officer, WATT Group of Companies- Director, WATT E-School of Languages- President, Online Linguistics Trainers Association, Ghana- President, WATT Xpress Ltd.- Co-founder, Gallery Products Ghana Ltd.- CEO, WATT Publications Ltd.- Interpreter, Lausanne Movement- Co-founder, WATT E-School

Free

Lectures

17

Skill level

Advanced

Expiry period

Lifetime

Related courses