Golad Academy
March 2027 cohort
- Starts Mon, 1 March 2027 · 12 weeks
- Live online
Fee: £99Apply now
Applications close 26 February 2027.
Golad Academy · Training Services
Data Science & Analytics
The Data Science & Analytics course equips learners with essential skills to interpret data, uncover insights, and make informed decisions. Covering statistics, programming, data visualization, and machine learning, the course blends theory with practical applications. Ideal for beginners and professionals, it builds a strong foundation for thriving in today’s data-driven world.
- Duration:12 weeks
- Skill level:Beginner to Intermediate
- Next cohort:1 March 2027
- Course price:£99
Learning outcomes
What you will be able to do
- Clean, explore and analyse data with Excel, SQL and Python (pandas)
- Apply statistics and hypothesis testing to real business questions
- Build interactive dashboards in Power BI or Tableau
- Communicate insights clearly through data storytelling
- Build and evaluate introductory machine-learning models
- Publish a portfolio project on GitHub
12 core modules
Curriculum
01Module 1Introduction to Data Analysis
- What is Data Analysis? Types and Roles (Descriptive, Diagnostic, Predictive, Prescriptive)
- Data Analytics Lifecycle (from data collection to storytelling)
- Key Tools & Technologies: Excel, SQL, Python, BI tools
- Real-world Applications in Business, Health, Governance
02Module 2Data Collection & Cleaning
- Data Sources: Surveys, Databases, APIs, Files (CSV, Excel)
- Data Collection Ethics and Privacy
- Handling Missing Values, Duplicates, and Outliers
- Data Transformation and Formatting
03Module 3Exploratory Data Analysis (EDA)
- Summary Statistics: Mean, Median, Mode, Standard Deviation
- Data Distributions and Skewness
- Identifying Patterns, Anomalies, and Correlations
- Using Pandas, Excel, and Visualization for Insights
04Module 4Data Analysis with Excel
- Functions and Formulas (IF, VLOOKUP, INDEX-MATCH)
- PivotTables, Conditional Formatting, Charts
- Dashboard Design and Interactivity
- Real-World Case Study: Analyzing Program Outcomes
05Module 5Data Analysis with Python
- Introduction to Python & Jupyter Notebook
- Core Libraries: NumPy, Pandas, Seaborn, Matplotlib
- Data Cleaning, Filtering, Grouping, Aggregating
- Use Case: Analyzing Health, Education, or Business Datasets
06Module 6Data Visualization
- Principles of Effective Data Storytelling
- Chart Types: Bar, Line, Scatter, Histogram, Heatmaps, Maps
- Tools: Excel, Python (Seaborn/Plotly), Power BI/Tableau Basics
- Creating Dashboards and Infographics
07Module 7Statistical Analysis & Hypothesis Testing
- Descriptive & Inferential Statistics
- Measures of Central Tendency and Variability
- Confidence Intervals, Z-Test, T-Test, Chi-Square, ANOVA
- Real-World Interpretation for Decision-Making
08Module 8Introduction to Databases & SQL
- Relational & Non-Relational Databases
- SQL Syntax: SELECT, WHERE, JOIN, GROUP BY
- Writing Queries to Extract Insights
- Using Platforms like MySQL, PostgreSQL, Google BigQuery
09Module 9Communicating Data Insights
- Writing Executive Summaries and Data Reports
- Creating Visual Stories and Interactive Presentations
- Tools: PowerPoint, Canva, Power BI
- Data Storytelling Best Practices
10Module 10Capstone Project & Portfolio Building
- Choose a Dataset (Social Program, Business KPI, Survey)
- Apply Full Pipeline: Cleaning → Analysis → Visualization → Insights
- Present Findings in a Dashboard + Written Report
- GitHub/Portfolio Setup for Career Purpose
11Module 11Power BI or Tableau for Beginners
- Introduction to BI Tools: Dashboards, KPIs, Interactive Visualizations
- Connecting Data Sources and Designing Reports
- Creating Filters, Slicers, and Storyboards
- Real-World Dashboard Project
12Module 12Introduction to Data Ethics and Governance
- Data Privacy, Security, and Ethical Considerations
- Governance Frameworks and Compliance Basics
- Responsible AI and Bias Awareness
- Policies for Businesses and Organizations
Industry extension
Optional advanced modules
Self-paced on GADLE alongside the core programme, so your skills keep pace with where the field is heading — including AI.
Machine Learning Fundamentals
- • Supervised vs unsupervised learning
- • Regression and classification with scikit-learn
- • Model evaluation: train/test split, cross-validation, precision and recall
- • Clustering and feature engineering basics
AI & Generative AI for Analysts
- • How large language models work, and where they fail
- • Using AI assistants for SQL, Python and analysis — with verification
- • Text analytics and sentiment analysis basics
- • Responsible AI: privacy, bias and explainability
Benefits of Data Science & Analytics
What you’ll gain from this course
- Informed Decision-Making
- Improved Efficiency
- Competitive Advantage
- Career Opportunities
Tools you’ll use
- Excel
- SQL (PostgreSQL, MySQL, BigQuery)
- Python
- Jupyter
- pandas
- NumPy
- Matplotlib & Seaborn
- Plotly
- scikit-learn
- Power BI
- Tableau
- GitHub
Prepares you for
- Microsoft PL-300: Power BI Data Analyst
- Google Data Analytics Professional Certificate
- Tableau Certified Data Analyst
Career paths
- Data Analyst
- Junior Data Scientist
- BI Analyst
- Reporting Analyst
- Insights Analyst
- Junior Analytics Engineer
Certification exams are set and awarded by their own bodies; our curriculum covers their knowledge areas. Trademarks belong to their owners.
Open for applications
Choose your start date
Apply online in about five minutes. An advisor will review your application and contact you.
Questions
Can’t find your answer? Contact us.
When does the next cohort start?
The next cohort for every Golad Academy programme starts on 1 March 2027. Apply online and an advisor will confirm your place.
How much does the course cost?
The course price is £99. Employers can sponsor a place and ask us for an invoice.
Do I need experience?
No. Programmes are designed for beginners to intermediate learners. An advisor reviews every application and will recommend the right starting point.
How is the course delivered?
Through live, instructor-led online classes with real-world projects. Between classes you learn on GADLE, our learning platform, where you will find recordings, lessons and assignments.
What are the industry-extension modules?
Two optional advanced modules, completed on GADLE alongside the twelve core modules, that keep the programme aligned with how the field is changing — including AI.
Get in touch
Ready to Start Your Learning Journey?
Ask an advisor about the programme, fees and the next intake.