Data Science training program is a comprehensive 3-month course that delivers in-depth knowledge, interactive learning, and personalized guidance from industry professionals. With premium content and practical projects, you will gain hands-on skills to tackle real-world data problems. Joining our respected data school, you will connect with a diverse community of local and international trainees, all enhancing their expertise in various fields with data insights.
Benefits of Training with Us:
Benefit
Description
A Trusted Name
We are a top-searched and highly recommended provider of data training programs, producing global talents who excel in international markets.
Innovative Learning
Our internship program employs innovative teaching methods and world-class resources to give you a competitive advantage in the global job market.
Dedicated Instructors and Mentors
Learn from a team of experts based in Nigeria, the U.K., the U.S., and Canada, all dedicated to guiding you toward success throughout your training journey.
Certification & Portfolio
Earn a certification to validate your skills and build a project portfolio to showcase your expertise to potential employers, making you stand out in the job market.
Coaching for High-Paying Remote Jobs
Our program includes specialized coaching for high-paying remote jobs, job application strategies, and access to top remote job opportunities.
CURRICULUM
Introduction to Statistics
Understanding Statistics in Plain English
When to Use a Particular Statistical Test
Python for Data Analytics, Machine and Deep Learning
Introduction to Python Programming
Working with Git and GitHub – Version Control
Data Types, Arithmetic Operations, Lists, and List Comprehension
Conditional Statements (If Else, Elif, For Loops and While Loops)
Basic Python Function
Advanced Python Function
Introduction to Streamlit, Streamlit Cloud and Application Deployment
Working with NumPy for Numerical Computing
Working with Pandas for Data Manipulation 1 & 2
Data Quality Assessments and Preparation 1 & 2
Exploratory Data Analysis (EDA) 1 & 2
Data Visualization with Python
Introduction to Artificial Intelligence
Introduction to Machine Learning
Introduction to Machine Learning Algorithms
Building Machine Learning Predictive Models – Classification
Building Machine Learning Predictive Models – Regression
Introduction to Deep Learning
Building Deep Learning Predictive Model – Image Analysis
Final Industry Project
Basic to Advanced Excel
Module 1: Excel Fundamentals
Topic
Description
Introduction to Excel
Understanding the Excel interface and basic navigation
Entering and Formatting Data
Basic calculations using Excel formulas
Working with Functions
Exploring common Excel functions (SUM, AVERAGE, COUNT, etc.)
Using Functions for Basic Data Analysis
Absolute and relative cell references
Data Management and Visualization
Sorting and filtering data
Creating Basic Charts
Bar, line, pie charts
Data Validation and Conditional Formatting
Advanced Formatting Techniques
Introduction to PivotTables
Tips and Tricks for Efficiency
Working efficiently in Excel
Module 2: Intermediate Excel Techniques
Topic
Description
Advanced Functions
Using logical functions (IF, AND, OR)
Lookup Functions
VLOOKUP, HLOOKUP, INDEX-MATCH
Text Functions for Data Manipulation
PivotTables and PivotCharts
In-depth PivotTable creation and customization
PivotCharts for Visual Data Analysis
Slicers and timelines
Data Automation
Introduction to Macros and VBA
Recording and Running Macros
Creating simple automation scripts
Module 3: Advanced Excel Techniques
Topic
Description
Advanced Data Analysis
Array formulas and advanced formula nesting
Building Complex Calculations
Introduction to Power Query for data transformation
Introduction to Power BI for Decision Intelligence
Overview of Power BI and its significance in decision-making. Understanding the Power BI interface.
Data Preprocessing and Transformation in Power BI
Importing data, cleaning, formatting, and handling missing values. Applying data transformation techniques.
Introduction to Relationships and Model
Importance of data relationships. Creating and managing relationships. Designing an efficient data model.
More on Data Preprocessing and Transformation
Advanced data shaping techniques using Power Query Editor. Combining and merging data from multiple sources.
Introduction to DAX, Measures, and Calculated Columns
Data Analysis Expressions (DAX) language. Creating measures and calculated columns. Performing advanced calculations.
Creating Data-Intelligent Visualization Reports and Dashboards
Designing interactive reports. Implementing various visualizations. Utilizing advanced features.
Database Management with SQL
Course Outline
Description
Introduction to Relational Database Management System
Understanding fundamentals of relational databases. Key database concepts.
Hands-on MySQL Database
Setting up and configuring MySQL database. Navigating and interacting with MySQL command-line interface.
Creating SQL Database
Designing and creating a SQL database. Defining keys and relationships. Ensuring data integrity.
Grouping and Summarizing Data with SQL
Using aggregate functions (SUM, AVG, COUNT). Grouping data for analysis. Applying filters and conditions.
Using SQL to Select Data from More Than One Table
Understanding table joins in SQL. Utilizing different join types. Writing complex queries.
Managing SQL Tables
Modifying tables with ALTER TABLE. Adding/deleting columns, constraints, indexes. Implementing data validation.
Using SQL Views
Creating and utilizing SQL views. Practical applications of views. Modifying data through views.
Using SQL Sub-Queries
Leveraging sub-queries for nested and correlated queries. Applying sub-queries for advanced filtering.
Using SQL to Insert, Update, and Delete Data
Inserting new records. Updating existing data. Deleting unwanted data.
Using SQL Transactions
Understanding transactions. Implementing transaction control statements. Managing transactional operations.
TRAINING MODALITIES
Details
Information
Start Date
January 2025 (Exact start date will be sent to you after registration)
Duration
3 Months
Schedule
3 Online Live Classes per week (Thursday to Saturday). Our classes are LIVE with you, not pre-recorded videos.
Class Time
Evenings (8:00 pm – 10:00 pm)
Instructor Location
U.K. or Nigeria Office
Background
No prior coding is required since we deliver training from the ground up. We also record our LIVE classes for your revision after each session.
Course Fee (Nigeria and Foreign-Based)
Nigeria Based: N250,000 (Instalment Option of N150,000 at start and N100,000 after 40 days). Foreign-Based Applicant: £200/$250 (Instalment Option is Not Available).
Our Students Work At Leading Organizations
Discover what makes DataLab a great place to earn your Data Skills.
Ready to Start ? Register Below
What Our Trainees are Saying
I would absolutely recommend Datalab to anyone looking to kick start their career in data science. They have a concise curriculum that allows swift understanding of Data tools and concepts, not to mention they have a talented staff body keen on helping you understand it.
Daisi Feyisayo, Student
Five stars signify top notch, highest pinnacle of success. That's how I can summarily describe DataLab Nigeria. The instructors are very good, friendly, and patient with their interns. Complacency stifles progress. Progress never ends. DataLab Nigeria continues to make progress. More power to your elbow.
Inuwa Yusuf, Student
The past three months with DataLab have been so amazing. The tutors are passionate in regards, imparting knowledge to their students. The classes were also really interactive. I would highly recommend the program to anyone looking to start a career in Data Science.
Chibuzor StellaMaris, Student
I recently completed a three month internship program with Datalab at their Abuja office. They are very resourceful, and broad in their training. We cover different courses including Python , R, Sql and Tableau.
What I like about them is their thrive for inclusion. They tried much to carry everyone along even with my tight schedule. I highly recommend Datalab Nigeria for Training in Data Science.
Etiese James, Student
Data analytics has never been taught any better than at Datalab. Datalab has well-experienced instructors with great pedagogy skills, sufficient data set to work on, and all interactive and practical sessions make learning seamless.
