Hello there, Become a certified data scientist/analyst in 18 weeks.
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.
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.
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.
There are several lucrative roles you can get when you have data science. Here are some of them
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
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)
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.
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
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)
This programme is designed for anyoneÂ
with no prior knowledge of skills required and willing 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.
Duration
Cost
Get ahead with learning resources, fast track templates, guides and softwares
Free laptop or desktop usage (Abuja only)
Exclusive Data Science community to share ideas, knowledge and opportunities
Offer Ends Soon. Take Advantage Now!
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.
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.
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.
Yes, we have options for instructor-led virtual learning and subscription-based virtual learning.
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.
The software needed may vary depending on the course, but common tools for data analysis include Microsoft Excel, Python, SQL, and PowerBI.
No, our courses are beginners-friendly. However, having a basic understanding of these topics can be helpful.
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.
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.
Take a look at the success stories from Seedbuilders' Data Science and Analysis Professional Alumni.
"I am getting what I have been looking for as a scientist. It is great."
"I had very little knowledge on graphics design but during the period of my training, I learnt a lot"
"The experience was great, It helped me boost my previous experience on graphics design."
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
Only a few seats are left at this Special OFFER of 10% discount
Accelerate your career and skills. Register for Seedbuilder's training. Get amazing benefits and access to our community and job placement.