Certification in Data Analytics and Data Science
75-hour intensive Data Analytics training program
Globally recognised Data Science certification
Copilot & Automation Sandbox system exposure
Flexible on-site & live virtual options
Monthly instalment payment plans
4.8/54.8/5Overview
What you will learn:
- Learn the data analytics lifecycle and map business questions to measurable metrics and KPIs
- Perform market trend analysis using public datasets and present findings in a short briefing
- Clean and normalise messy customer and retail data including missing values and outliers and submit a cleaned dataset version
- Build operational performance dashboards with KPI visuals and interactive drill-down views
- Write SQL queries on sales transaction databases and produce a summary report from extracted results
- Prepare stakeholder-ready recommendations by converting analysis outputs into a clear business growth strategy presentation
Upcoming sessions
Curriculum
Excel interface overview
Basic functions (SUM, AVERAGE, MIN, MAX)
Text and logical functions
Data entry and formatting
Spreadsheet structuring
VLOOKUP, XLOOKUP, INDEX, MATCH
Data validation
Data cleaning techniques
Date functions
Data accuracy management
Data collection
Data cleaning
Handling missing values
Data transformation
Normalization techniques
SQL basics
Queries
Joins
Aggregation
Optimization techniques
Power BI interface
Data import
Basic visualizations
Charts and reports
KPI tracking
Python basics
Pandas and NumPy
Data manipulation
Visualization libraries
Analysis workflows
Descriptive statistics
Inferential statistics
Hypothesis testing
Regression analysis
Business applications
ML concepts
Supervised vs unsupervised learning
Model building
Evaluation metrics
Applications
AI vs ML
Predictive analytics
Automation
AI applications
Business use cases
Time-series analysis
Forecasting models
Trend analysis
Demand prediction
Business forecasting
Data storytelling
Visualization best practices
Communication techniques
Business presentations
Stakeholder reporting
Meet your Trainer
Our Trainers
We take immense pride in our skilled instructors and trainers who excel in their chosen fields. Our trainers are globally recognised for their expertise and experience.Learners Point adopts a data driven research approach to learning so the experience is highly customizable and thoroughly engaging for learners from all walks of life. The sessions are classroom-based and led by an instructor. For those who seek more flexibility, we also offer high quality live and interactive sessions online.
Learning Outcomes
Successful completion of our training will help professionals in the following ways:
1
Explain the data analytics lifecycle and identify where analytics supports business impact and decision-making
2
Validate and standardise datasets using transformation and normalisation methods for analysis-ready outputs
3
Apply data storytelling principles to choose the right visuals and structure insight narratives for reporting
4
Apply statistical reasoning using hypothesis testing concepts, p-values, and regression to support evidence-based decisions
5
Differentiate machine learning and AI use cases, then apply forecasting concepts such as time series methods to support planning and prediction
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
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Frequently asked questions
The Data Analytics and Data Science course is a 75-hour practical program. You will learn to turn raw business data into clear, decision-ready insights. There are sessions with Excel, SQL, Power BI, Python, statistics, machine learning, forecasting, and AI applications. The course also includes case studies, Copilot-supported tasks, an Automation Sandbox, industry simulation, and a final presentation focused on real business decisions.
This training suits junior to mid-level managers and professionals who handle reports, KPIs, and operational decisions. It is ideal for business users who want stronger data interpretation skills, reporting and dashboard users who work with Excel and Power BI, and professionals who collaborate with data teams and need confidence with SQL outputs. It also fits IT and non-IT learners seeking practical foundations in Python, statistics, ML, and forecasting.
Yes. Our Data Analytics and Data Science course is suitable for beginners who want a structured path into analytics. Participants start with Excel-based data analysis and gradually move into data cleaning, SQL, Power BI, Python, statistics, machine learning, and AI applications. The course includes hands-on activities, case studies, Copilot-supported tasks, and industry simulation. This helps new participants build confidence through practical learning.
The Data Analytics and Data Science course covers the main tools used in practical analytics, dashboarding, programming, and AI-assisted data workflows. Some of them are mentioned below:
- Microsoft Excel
- SQL
- Microsoft Power BI
- Python
- Pandas and NumPy
- Microsoft Copilot
Copilot integration and the Automation Sandbox are included in this course to make learning more practical, relevant, and workplace-focused. Throughout the program, participants use Copilot to support tasks such as summarising datasets, identifying patterns, generating draft interpretations, suggesting SQL or Python logic, explaining analytical steps, and refining presentation narratives.
Learners Point offers a structured, end-to-end training pathway that combines Excel, SQL, Power BI, Python, and machine learning. Our program includes industry-experienced instructors, hands-on projects, and career-focused guidance. We ensure you gain practical skills, build a strong portfolio, and confidently pursue analytics and AI roles in the competitve job market.
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