Data Science/Analytics Internship

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:

BenefitDescription
A Trusted NameWe are a top-searched and highly recommended provider of data training programs, producing global talents who excel in international markets.
Innovative LearningOur internship program employs innovative teaching methods and world-class resources to give you a competitive advantage in the global job market.
Dedicated Instructors and MentorsLearn 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 & PortfolioEarn 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 JobsOur program includes specialized coaching for high-paying 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

TopicDescription
Introduction to ExcelUnderstanding the Excel interface and basic navigation
Entering and Formatting DataBasic calculations using Excel formulas
Working with FunctionsExploring common Excel functions (SUM, AVERAGE, COUNT, etc.)
Using Functions for Basic Data AnalysisAbsolute and relative cell references
Data Management and VisualizationSorting and filtering data
Creating Basic ChartsBar, line, pie charts
Data Validation and Conditional Formatting 
Advanced Formatting TechniquesIntroduction to PivotTables
Tips and Tricks for EfficiencyWorking efficiently in Excel

Module 2: Intermediate Excel Techniques

TopicDescription
Advanced FunctionsUsing logical functions (IF, AND, OR)
Lookup FunctionsVLOOKUP, HLOOKUP, INDEX-MATCH
Text Functions for Data Manipulation 
PivotTables and PivotChartsIn-depth PivotTable creation and customization
PivotCharts for Visual Data AnalysisSlicers and timelines
Data AutomationIntroduction to Macros and VBA
Recording and Running MacrosCreating simple automation scripts

Module 3: Advanced Excel Techniques

TopicDescription
Advanced Data AnalysisArray formulas and advanced formula nesting
Building Complex CalculationsIntroduction to Power Query for data transformation
Data Models and Power PivotCreating data models in Excel
DAX FunctionsCombining multiple data sources
Advanced Charting and VisualizationAdvanced chart types (scatter, bubble, radar, etc.)
Customizing ChartsBuilding interactive dashboards
Excel Efficiency and Best PracticesTips for efficiency and productivity
Collaboration and Data Sharing 

Microsoft Power BI

Course OutlineDescription
Introduction to Power BI for Decision IntelligenceOverview of Power BI and its significance in decision-making. Understanding the Power BI interface.
Data Preprocessing and Transformation in Power BIImporting data, cleaning, formatting, and handling missing values. Applying data transformation techniques.
Introduction to Relationships and ModelImportance of data relationships. Creating and managing relationships. Designing an efficient data model.
More on Data Preprocessing and TransformationAdvanced data shaping techniques using Power Query Editor. Combining and merging data from multiple sources.
Introduction to DAX, Measures, and Calculated ColumnsData Analysis Expressions (DAX) language. Creating measures and calculated columns. Performing advanced calculations.
Creating Data-Intelligent Visualization Reports and DashboardsDesigning interactive reports. Implementing various visualizations. Utilizing advanced features.

Database Management with SQL

Course OutlineDescription
Introduction to Relational Database Management SystemUnderstanding fundamentals of relational databases. Key database concepts.
Hands-on MySQL DatabaseSetting up and configuring MySQL database. Navigating and interacting with MySQL command-line interface.
Creating SQL DatabaseDesigning and creating a SQL database. Defining keys and relationships. Ensuring data integrity.
Grouping and Summarizing Data with SQLUsing aggregate functions (SUM, AVG, COUNT). Grouping data for analysis. Applying filters and conditions.
Using SQL to Select Data from More Than One TableUnderstanding table joins in SQL. Utilizing different join types. Writing complex queries.
Managing SQL TablesModifying tables with ALTER TABLE. Adding/deleting columns, constraints, indexes. Implementing data validation.
Using SQL ViewsCreating and utilizing SQL views. Practical applications of views. Modifying data through views.
Using SQL Sub-QueriesLeveraging sub-queries for nested and correlated queries. Applying sub-queries for advanced filtering.
Using SQL to Insert, Update, and Delete DataInserting new records. Updating existing data. Deleting unwanted data.
Using SQL TransactionsUnderstanding transactions. Implementing transaction control statements. Managing transactional operations.

TRAINING MODALITIES 

DetailsInformation
Start DateJanuary 2025 (Exact start date will be sent to you after registration)
Duration3 Months
Select Mode of StudyOption 1: Weekdays (Monday, Wednesday, and Thursday Onsite)
Option 2: Hybrid Weekend (Wednesday Online and Saturday In-Person at Our Office)
TimeOption 1: 10am – 3pm
Option 2: Wednesday Online – 8pm – 10pm, Saturday In-Person – 10am – 3pm
Instructor LocationOverseas and Nigeria
BackgroundNo prior coding is required since we deliver training from the ground up.
Course FeeTotal Fee: N250,000
First Instalment: N150,000. Second Instalment due 40 days after your start date.

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