Data Analytics
Turn raw data into clear insights and confident decisions. Build practical skills in Excel, SQL, Power BI and Python while working on real-world analytical projects.
- Flexible Online Learning
- Practical Analytics Projects
Overview
The Data Analytics program develops the practical skills needed to collect, clean, analyze and communicate data effectively.
You will learn how to explore datasets, identify meaningful patterns, build interactive dashboards and translate analytical findings into recommendations. The program combines essential analytical methods with widely used tools such as Excel, SQL, Power BI and Python.
Through guided exercises, business case studies and portfolio projects, you will gain experience completing the full analytics process, from defining a problem to presenting a data-supported solution.
What you will learn :
Understand the analytical process and learn how data supports operational, strategic and business decisions.
Use formulas, lookup functions, pivot tables and dashboards to organize and analyze data efficiently.
Write queries to retrieve, filter, join, summarize and analyze information stored in relational databases.
Identify errors, handle missing values and transform raw information into reliable analytical datasets.
Apply descriptive statistics, probability, sampling and hypothesis testing to interpret data correctly.
Use Python and popular libraries to prepare, explore, analyze and visualize larger datasets.
Investigate datasets to discover trends, relationships, anomalies and potential areas for deeper analysis.
Choose effective charts and visual techniques to make complex information easier to understand.
Create interactive reports, data models and dashboards that support monitoring and decision-making.
Communicate findings through clear narratives, professional visuals and actionable recommendations.
Explore how historical data can support forecasting, classification and future planning.
Complete an end-to-end analytics project and present findings for a realistic business challenge.
Admission requirements and tuition fees vary. Speak with an advisor for full program information
Program Highlights :
- Business-Focused Learning
Develop analytical skills around realistic challenges in marketing, finance, operations and customer experience.
- Hands-On Analytics Projects
Work with practical datasets and create reports, dashboards and recommendations.
- Modern Business Tools
Build experience with Excel, SQL and leading data visualization platforms.
- Decision-Making Skills
Learn to connect analytical findings with strategic priorities and measurable business outcomes.
- Portfolio Development
Create work that demonstrates your ability to analyze data and communicate professional recommendations.
- Clear Data Storytelling
Present complex findings in a way that business leaders and non-technical stakeholders can understand.
- Expert Guidance
Receive structured support while developing your technical knowledge, projects and problem-solving approach.
Program Leadership:
Learn from experienced analytics and business professionals who combine technical knowledge with commercial understanding. The program leadership team helps learners translate data into clear insights, practical recommendations and better business decisions.
This Program includes :
- Excel, SQL, Python
- Data cleaning and preparation
- Data visualization
- One-on-one Doubt Sessions
- Expert instructor support