Data Science Training in Abuja
May 26 - August 31
Data Science training in Abuja offers 3 months of professional classes in data science, featuring quality content as well as interaction with seasoned mentors and your professional on-ground instructors. Trainees will have hands-on experience working with data science tools by building portfolios with real-life projects. Candidates will be able to build workable solutions to real-world data problems. You will be taught by instructors with international exposure to data science projects and industry.
What you will Gain from the Data Science Internship
- Supportive And Innovative Teaching
- Extra Support Sessions
- Practical Teaching From Resourceful and very Supportive Instructors
- Certification And Solid Project Portfolio to Back it up
- Employability Skills
- Job Coaching And Vacancies Newsletter For Job Seekers
- Course Content That Aligns With The Data Science Industry Internationally
- One-on-0ne Mentorship from our Mentors Overseas.
- Abundant Support Sessions every week to solve your problems one-on-one.
- Opportunity to work with our in-house team to gain valuable work experience.
DEVELOPMENT TOOLS YOU WILL LEARN IN THIS INTERNSHIP
- Python
- R
- Microsoft Power BI
- SQL
Curriculum in Data Science training in Abuja:
PYTHON AND APPLICATION DEVELOPMENT
This course equips you with skills in the python programming language. You will be able to understand problems through data and build machine-learning models to solve practical problems. We teach with state-of-the-art resources and international exposure.
COURSE OUTLINE
| Statistics for Data Science |
| Git and GitHub for Version Control |
| Data Types, Arithmetic Operations, Python Lists, and List Comprehension |
| Conditional Statements (If Else, Elif, For Loops and While Loops) |
| Python Function Basics to Advanced |
| Project Design in Data Science |
| Building and Deploying your First Python Application |
| Working with Numpy |
| Working with Pandas 1 & 2 |
| Data Quality Assessment, Cleaning, Transformation and Reduction 1 & 2 |
| Exploratory Data Analysis (EDA) |
| Data Visualization |
| Reading Data from SQL Databases using Python |
| Data Science in Industries |
| Introduction to Machine Learning and Machine Learning Algorithms |
| Introduction to Deep Learning and Advances in Deep Learning |
| Machine Learning with Regression |
| Machine Learning with Classification |
| Time Series Modeling |
| Final Industry Project |
R PROGRAMMING
You will learn the concepts of programming in R, data cleaning, data analysis, and building machine learning models for prediction using R language. You will solve real-life problems with R relevant to the workplace.
COURSE OUTLINE
| Introduction to R and R Studio |
| Data Wrangling with R Part 1 & 2 |
| Statistical and Exploratory Data Analysis in R |
| Introduction to Machine Learning |
| Machine Learning with Classification in R |
| Machine Learning with Regression in R |
| Practical Project using Machine Learning Regression in R |
| Practical Project using Machine Learning Classification in R |
| Practical Project using Machine Learning Clustering in R |
| R Final Industry Project |
DATA VISUALIZATIONS WITH MICROSOFT POWER BI
You will master Power BI to design a fully interactive dashboard and gain powerful insights from data visualizations. You will master Basic to Advanced Power BI to become a business intelligence expert.
COURSE OUTLINE
- Introduction to Power BI for Decision Intelligence.
- Data Preprocessing and Transformation in Power BI.
- Introduction to Relationships and Model.
- More on Data Preprocessing and Transformation.
- Introduction to DAX, measures and calculated columns.
- Creating Data Intelligent Visualization Reports and Dashboards.
DATABASE OPERATIONS WITH SQL
SQL is the language of databases. This course will equip you with practical skills in working with a popular database. You will learn how to query the database, extract data and transform data for further analysis.
COURSE OUTLINE
- Introduction to Relational Database Management System
- Hands-on my MySQL Database
- Creating SQL Database
- Grouping and Summarizing Data with SQL
- Using SQL to Select Data from More Than One Table
- Grouping and Summarizing Data with SQL
- Joining SQL Tables
- Managing SQL Tables
- Using SQL Views
- Using SQL Sub-Queries
- Using SQL to Insert Data
- Using SQL to Update Data
- Using SQL to Delete Data
- Using SQL Transactions
What you will Get
Internationally Trained Instructors You will be trained by our instructors with UK data analytics work experience. You will gain direct exposure to international and in-demand skill sets.
Professional and very Passionate In-House Team: Datalab’s in-house team has been implementing professional data science consulting across a range of fields. We teach from sound experience and a strong passion to impact world-class knowledge which directly informs our course content.
Practical Industry Projects: This training is designed to prepare you not only to get a paper certificate but also to train you for your next job. You will also work on real-world practical projects BACKED BY A SOLID PORTFOLIO which will make you very attractive to employers beyond a mere paper certificate.
Course Completion Certificate: After completing this training you will also receive a professional certificate.
Career Advice: We offer a career advisory service and newsletter for job opportunities and placements.
Duration: 3 Months
Schedule: 3 Physical Classes Weekly (Monday, Wednesday and Thursday) with extra MENTORSHIP SESSIONS.
Time: 10 am
Venue: Suite 33 Mazfalah Plaza Karu Site, Abuja.
NOTE: Students do not need any prior coding experience to pursue this program.
COURSE FEE: N200,000 (Payable in 2 Equal Instalments)
Our past interns have completed the following industry relevant:
Data Analysis and Insights Generations from diverse sources of data
Artificial Intelligence Powered ChatBot for Business Customer Service Automation
Prediction of Property Prices using Machine Learning
Healthcare Analytics on Healthcare Data
Various Business Intelligence Dashboards using Power BI
E-Commerce Product Recommendations using Recommender Systems
Understanding Customers using Machine Learning Segmentation
Time Series forecasting for Sales and Energy Consumption
Classification Algorithms to predict loan Defaults for a Fintech
Prediction of Various Business Metrics using Machine Learning