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Data Analytics & AI

Data analysis training entails gaining skills in data gathering, cleansing, statistical analysis, visualization, and machine learning in order to extract insights. Handling multiple data sources, studying and comprehending data using statistical methods and visualization tools, applying machine learning for predictions, and assuring ethical data practices are all part of the job. The training modules include Excel, PowerBI, SQL and Python.

SAT & SUN
Time – Virtual
2 Months
Duration
₦75,000/month
Nigeria
£100/Month
International

Curriculum Breakdown

The programme curriculum covers all areas of data Analysis.

1

Introduction to Data Analysis

2

Introduction to Database

3

Introduction to Excel

4

Introduction to PowerBi

5

SQL

6

AI in Data Analysis: Practical Applications.

Course Benefits

Job Opportunities

With our Data Analytics Certificate, you get to work as any of the following:

Contact Evolve HQ

Enroll for Data analytics by Evolve HQ

I decided I wanted to at least learn something new this year even though I never had anything in mind and just then i stumbled on data analysis with Evolvehq and then I decided to give it a try, as someone who is a novice to the tech world, after a couple of lessons I can boldly say it has exceeded my expectations and has served as an eye opener to things I would not have had an idea about if I hadn’t taken the bold step.

igwe's photo

Igwe Chinedum Augustine

Nigeria

Meet Our Faculty

Meet our world class, competent and ever dedicated tutors who will be guiding you through the journey

Olayinka Oyedele

People Business Partner at Letshego MFB
Olayinka is a subject expert in facilitating training on People Data Analytics, Data  Analytics, and Advanced MS Excel for professionals and Managers. He has severally  trained students/clients on data analytics for business using analytical tools like Advanced MS Excel, Power BI, and data collection tools. He is vast in the usage of data analytics using tools like survey forms, MS Excel, SQL, PowerBi to analyze business-related data for business decisions and recommendations.

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