Lagos || Abuja || Nasarawa
Lagos | Abuja | Nasarawa
+234817 577 7770
Data Analysis / Data Science Course In Abuja

Hello there,
Become a certified data scientist/analyst in 18 weeks.

Start: 2nd July 2024
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)

Hear From More Of Our Students

 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 3000 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

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 Students 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

N320,000
N220,000

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
₦350,000
₦250,000

Are you worried about not being able to pay at once? Pay as low as N105,000 in 3 monthly instalments.

Apply Now

Join the Instructor-led virtual class with a special offer of 25% discount and pay N168,750 for Data analysis, or N236,250 for Data Science.

Apply Now

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Offer Ends Soon. Take Advantage Now!

Frequently Asked Questions About This Course

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making.

Who can benefit from learning data analysis?

Data analysis is a valuable skill for anyone working with data in their job, such as business analysts, data scientists, researchers, and marketers. Learning data analysis  can benefit professionals looking to advance their careers or anyone interested in learning more about data analysis.

Where does the course take place?

Our physical classes are in Abuja and Lagos. We are located at 6a Embu street off Aminu Kano crescent, Wuse 2 Abuja and at 44, Ogunlana Drive, Surulere, Lagos.

Can I join the program remotely?

Yes, we have options for instructor-led virtual learning and  subscription-based virtual learning.

Can I get access and learn at my own pace?

Yes, Seedbuilders has an e-learning platform where you can get full access to the course and learn at your own convenience for a token of N15,000 only.

What software is needed to learn data Science?

The software needed may vary depending on the course, but common tools for data analysis include Microsoft Excel, Python, SQL, and PowerBI.

Do I need any prior knowledge of programming or statistics to learn data Science?

No, our courses are beginners-friendly. However, having a basic understanding of these topics can be helpful.

How long does it take to be really good at it so I can start making money from it?

Becoming good at Data Analysis/Science requires a great deal of practice and  attention to detail. While there is no timeline for how good it takes to become really good in Data Analysis/Science, during the course of this training we will help you build your portfolio to be strong and be able to stand out in the job market.

What certificate am I getting after training?

You are getting the Seedbuilders Certificate of Completion after passing your mock exams. Also, all participants are recommended to take the Microsoft Certification exams immediately after completing our mock exams.

Testimonial

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

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Enjoy Seedbuilders with Absolutely NO RISK to you!
Enjoy Seedbuilders with Absolutely NO RISK to you!

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.

Terms & Conditions Apply

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

PS. Become a certified data scientist or data analyst in 4 months.
Terms & Conditions apply
Pay Now!
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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