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Enroll for:

Data Analytics course

Exclusive offer!


Enroll today, for only ($100) N57,750


Offer limited to the first 20 enrollees


Course starts: 3rd March, 2025


Self paced learning.

Become skilled and job ready in just 28 days!!!


No Laptop?

No worries, with our simplified lecture, you would be able to understand all steps and still have access to the course for an atleast three more months.


Learning never ends!!!

Know the right technology stack in 28 days and start applying for jobs.



Remote jobs

Job roles that you could work:

Data Analyst

Business Analyst,

Operations Analyst, e.t.c.

Tech training comparison

Youtube: free,

lots of ambiguities

loss of time in research,

no certifications.


Coursera: 4 to 6 months,

lots of ambiguities,

technology stack (4),

portfolio project (1),

fee ($300)


NurtCode: 28 days,

straight to the point,

technology stack (5),

portfolio project (3),

fee($100 but right now N57,750)

Technology Stack

You'll be taught:

Spreadsheets,

Query Languages,

Programming Languages, and

Visualization tools.


Learning these two programming languages:

R, and Python.


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BONUS:

  • Industry ready training: Training is set to make you ready for tech industry, as you will be taught with relevant industry tools and IDEs.
  • Portfolio projects: You would be able to have in your portfolio, atleast 3 projects.
  • One Sheets: You would have access to specially curated cheatcodes for each technology stack.
  • Practice Notes: You would have practice notes for each exercises for you to go through and develop your skills.

Course Modules:

1

Course Introduction

How to optimize knowledge obtained from this course.

What you stand to gain from this course and how fast.

Job roles you may have.

2

Data Analytics Basics

Data and Big Data differences.

Data analysis skills.

Descriptive, prescriptive, diagnostic, and predictive analytics.

3

Data Analysis Phases

Learn how to utilize the phases of data analysis to obtain actionable insights from data.

4

Data Analysis Toolbox

Learn the tools needed to carry out data analysis, the type of data, and which tool is best for which cases.

5

Basic Tools

Learn how to use spreadsheets to carry out data analysis. Learn how to visulize obtained insights to stakeholders.

6

Foundation Tools

Learn how to use query languages to carry out data analysis. Learn the visulaization tools to use to present insights to stakeholders.

7

Addvanced Tools

Learn how to utilize Python and R to carry out data analysis and visualize obtained insights.

8

Portfolio Project

Carry out 3 projects to include in your portfolio.

Learn where to upload them for prospective employees to view them.

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+2348166471915


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