Lagos || Abuja || Nasarawa
Data Analysis / Data Science Course In Abuja

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Become a certified data scientist/analyst in 18 weeks.

Start: Ongoing
Registration is Ongoing
Physical (Abuja)
Virtual (Instructor-led or Subscription-Based)
Schedule: Weekdays or Weekends

The world is undergoing an accelerated digital transformation, which is rapidly reshaping all industries and sectors.
According to the World Economic Forum, over 83 million jobs are going to be lost due to technology and artificial intelligence in 2027. If you do not want to be left behind, there’s no other time to learn a tech skill than right now. Data analysis/science is one of the major lucrative tech skill you can learn today that would help you stay relevant in this evolving digital world.

Jumpstart Your Career as a Data Analyst/Scientist

Master data analysis/science and launch your career as a data analyst with our comprehensive course. Learn essential techniques, from data cleaning and visualization to machine learning. Work on real projects, gain hands-on experience, and build a portfolio. Whether you aim to join top companies or drive innovation with your own agency, enroll now and unlock the potential of data analysis.

Your Earning Potential as a Data Analyst/Scientist

Looking to become a Data scientist/analyst and earn a competitive salary? Look no further than our Data science/analysis course! Upon completion of our course, you will be equipped with the skills and knowledge needed to land a job as a Data scientist/analyst, with a competitive yearly salary that can range from 8,000,000 Naira in Nigeria to 100,000 USD in the US and 98,000 Pounds in the UK, according to industry standards.

Roles You Can Get When You
Learn Data Analysis/Science

There are several lucrative roles you can get when you have data science. Here are some of them

Data Analysis

  • Excel Functions and Formula, Power Query
  • Pivot Tables (Summarize as, Group by, Show Value as, Slicers), Pivot Charts
  • Data Cleaning using Power Query
  • Merging and Appending Queries, Pivot Columns, Power Query Functions, Conditional Columns
  • Power Pivot – Data Modelling, Measures, KPIs
  • DAX Functions and Formulas

Importing Data from Excel (Data Modelling & DAX on PowerBI)

• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool

Installation and Setup,

• Introduction to SQL,

• Relational Databases,

• Database Normalization,

• SQL Operations, SQL Functions

• SQL Wild Cards, SQL Project

• Arithmetic & Comparison Operators

Data Science

  • Excel Functions and Formula, Power Query
  • Pivot Tables (Summarize as, Group by, Show Value as, Slicers), Pivot Charts
  • Data Cleaning using Power Query
  • Merging and Appending Queries, Pivot Columns, Power Query Functions, Conditional Columns
  • Power Pivot – Data Modelling, Measures, KPIs
  • DAX Functions and Formulas

Importing Data from Excel (Data Modelling & DAX on PowerBI)

• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool

Installation and Setup,

• Introduction to SQL,

• Relational Databases,

• Database Normalization,

• SQL Operations, SQL Functions

• SQL Wild Cards, SQL Project

• Arithmetic & Comparison Operators

•Python – Introduction, Concepts, Installation and Setup
• Python – Data Structures, Functions, Loops,
• Python for Data Analysis and Visualization (NumPy, Pandas, Matplotlib, Seaborn)
• Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing
• Machine Learning in Python – Supervised (Introduction to Regression Analysis, Classification)
and Unsupervised (Clustering)

Choose your pathway

Learn Data Analysis step by step and build job-ready skills for a data analyst career.

Learn Data Analytics or Data Science step by step and build job-ready skills for a career in the data field.

Data Analytics

  • Excel Functions and Formula, Power Query
  • Pivot Tables (Summarize as, Group by, Show Value as, Slicers), Pivot Charts
  • Data Cleaning using Power Query
  • Merging and Appending Queries, Pivot Columns, Power Query Functions, Conditional Columns
  • Power Pivot – Data Modelling, Measures, KPIs
  • DAX Functions and Formulas

Importing Data from Excel (Data Modelling & DAX on PowerBI)

• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool

Installation and Setup,

• Introduction to SQL,

• Relational Databases,

• Database Normalization,

• SQL Operations, SQL Functions

• SQL Wild Cards, SQL Project

• Arithmetic & Comparison Operators

Data Science

  • Excel Functions and Formula, Power Query
  • Pivot Tables (Summarize as, Group by, Show Value as, Slicers), Pivot Charts
  • Data Cleaning using Power Query
  • Merging and Appending Queries, Pivot Columns, Power Query Functions, Conditional Columns
  • Power Pivot – Data Modelling, Measures, KPIs
  • DAX Functions and Formulas

Importing Data from Excel (Data Modelling & DAX on PowerBI)

• DAX Measures, Power BI – Project
• Visual Charts & Formatting – Column and Line Charts, Horizontal Bar Charts, Drill Down Filters,
Dashboard Filters, Donut Chart, Maps, Cards and Gauges, TreeMaps and Analytics
• What-If Analysis, Q and A Tool

Installation and Setup,

• Introduction to SQL,

• Relational Databases,

• Database Normalization,

• SQL Operations, SQL Functions

• SQL Wild Cards, SQL Project

• Arithmetic & Comparison Operators

•Python – Introduction, Concepts, Installation and Setup
• Python – Data Structures, Functions, Loops,
• Python for Data Analysis and Visualization (NumPy, Pandas, Matplotlib, Seaborn)
• Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing
• Machine Learning in Python – Supervised (Introduction to Regression Analysis, Classification)
and Unsupervised (Clustering)

•Python – Introduction, Concepts, Installation and Setup
• Python – Data Structures, Functions, Loops,
• Python for Data Analysis and Visualization (NumPy, Pandas, Matplotlib, Seaborn)
• Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing
• Machine Learning in Python – Supervised (Introduction to Regression Analysis, Classification)
and Unsupervised (Clustering)

 Is this programme right for you?

Is this programme right for you?

This programme is designed for anyone 
with no prior knowledge of skills required and willing to learn.

We've trained over 5000 students

Requirements & Benefits

No prior knowledge of digital skills required
Willingness to learn

Experience six practical modules steering you through each stage of your innovation journey. These modules also equip you with the necessary tools to think critically and create innovative solutions.

Features
Benefits
Physical and online training options
Flexible mode of payment. Learn at your pace. Learn from the comfort of your home. Mobile friendly.
Laptops and Desktops computers available for training
No need to invest in buying a new compatible computer.
High grade certified and experienced facilitators
Learn from qualified and certified facilitators
Central location in Abuja,Lagos and Nasarawa
Save cost, Centers located in a city near you
No prior Digital Skill knowledge required.
You don’t need prior Computer or Digital knowledge to become a Digital professional
Community/Network
Join a network of other Digital enthusiasts who will share ideas, knowledge and opportunities with you.
Access to workstation Learning resources, Fast track templates, guide and softwares.
Get ahead of others with latest guide, fast track templates and softwares
Access to information on travel opportunities
Get expert information on how to relocate abroad using your new tech skill to your advantage

Become a Certified Data Scientist or Data Analyst

And get access to job opportunities in 3 months guaranteed.
Pay now and get a FREE Powerbank or N3,000 Airtime on any network of your choice.

Join the virtual class with a special offer of 50% discount.

(Offer ends 23rd, February, 2023)
Apply Now

Pricing For Corp members Freelancers Students Everyone

Data Analytics

Data Analytics (with SQL)

Data Science

Become a Certified Data Scientist or Data Analyst

And get access to job opportunities in 3 months guaranteed.
Other benefits
Data Science
Data Analytics
(with SQL)

Duration

18 weeks
14 weeks

Cost

N359,000
N259,000

Get ahead with learning resources, fast track templates, guides and softwares

N30,000
N30,000

Free laptop or desktop usage (Abuja only)

Exclusive Data Science community to share ideas, knowledge and opportunities

TOTAL VALUE
₦389,000
₦289,000
GET 10% DISCOUNT NOW
₦350,000
₦250,000

Only 10 Slots Available – Secure Yours Now!

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Join the Instructor-led virtual class with a special offer of 25% discount and pay N187,500 for Data analysis, or N262,500 for Data Science.

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Or subscribe to our on-demand e-learning platform to learn at your own pace and get everything for just 15,000 Naira.

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Frequently Asked Questions About This Course

Or subscribe to our on-demand e-learning platform to learn at your own pace and get everything for just 15,000 Naira.

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Testimonial

Take a look at the success stories from Seedbuilders' Data Science and Analysis Professional Alumni.

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100% Prompt service delivery. 100% Money-back Guarantee within 7 days. 100% Satisfaction Guaranteed.

We guarantee your satisfaction on our course with a full refund. If you are not satisfied with the performance promised because of some failure in our service, just let us know and we will refund every kobo you have paid.

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Fill the form for the offer of 10% discount now!

PS. Become a certified data scientist or data analyst in 4 months.
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If you do not pay now, you will lose out on this one-time offer and pay the full price once classes commence.

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