School of Data Science

Transform raw data into actionable insights and drive data-informed decisions.

About This School

Data Science

Data is the new gold, and data scientists are the miners who extract value from it. The School of Data Science at LEKKI TECH ACADEMY equips you with the analytical, technical, and statistical skills to collect, process, analyse, and interpret complex datasets. You will master tools and technologies used by leading data teams worldwide, including Python, R, SQL, Tableau, Power BI, and big data frameworks like Spark and Hadoop.

From exploratory data analysis to predictive modelling and data storytelling, our curriculum covers the full data science lifecycle, preparing you for high-impact roles across every industry.

Overview

What is Data Science?

Data Science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract knowledge and insights from structured and unstructured data. It encompasses data collection, cleaning, exploration, visualisation, statistical modelling, machine learning, and communication of results.

Organisations across every sector rely on data science for customer analytics, fraud detection, supply chain optimisation, personalised recommendations, risk assessment, and strategic decision-making. The field offers immense career opportunities for those who can bridge the gap between data and business outcomes.

Why Choose Data Science

Benefits of Studying Data Science

Data-Driven Decision Making

Learn to uncover patterns and insights that drive strategic business decisions and create measurable impact.

Exceptional Job Market

Data science roles are among the fastest-growing occupations globally, with high demand across all sectors and geographies.

Versatile Skill Set

Gain expertise in statistics, programming, data visualisation, and domain knowledge that applies to any industry.

Competitive Salaries

Data scientists and data engineers command some of the most competitive compensation packages in the technology sector.

Cross-Functional Collaboration

Work closely with business leaders, engineers, and product teams to solve meaningful problems using data.

Lifelong Learning

The data landscape evolves continuously, offering endless opportunities for professional growth and specialisation.

Programmes

Courses Offered

Data Analytics

Master exploratory data analysis, statistical testing, data visualisation, and dashboard creation using Python, R, SQL, Tableau, and Power BI. Communicate insights effectively to stakeholders.

Duration: 4 months

Data Engineering

Design and build data pipelines, ETL processes, data warehouses, and data lakes. Work with Apache Spark, Airflow, dbt, Snowflake, and cloud data platforms to process data at scale.

Duration: 6 months

Business Intelligence

Learn to transform raw data into actionable business insights. Build interactive dashboards, KPIs, and reports using Power BI, Tableau, and Looker. Understand data warehousing and dimensional modelling.

Duration: 4 months

Big Data Analytics

Process and analyse massive datasets using distributed computing frameworks. Master Hadoop, Apache Spark, Kafka, and NoSQL databases. Build real-time data processing pipelines.

Duration: 6 months
Careers

Career Opportunities

Data Analyst
Data Engineer
Data Scientist
Business Intelligence Analyst
Analytics Manager
Big Data Engineer
Data Visualisation Specialist
Machine Learning Engineer
Chief Data Officer
Outcomes

What You Will Learn

  • Collect, clean, and preprocess data from diverse sources and formats
  • Apply statistical methods to analyse data and validate hypotheses
  • Build predictive models using regression, classification, and clustering techniques
  • Create compelling data visualisations and dashboards for diverse audiences
  • Design and implement data pipelines for ETL and data integration
  • Query and manipulate relational and NoSQL databases efficiently
  • Work with big data technologies including Spark and Hadoop
  • Apply A/B testing and experimental design frameworks
  • Communicate data-driven recommendations to non-technical stakeholders
  • Deploy data products and models to cloud environments

Duration

Our Data Science programmes run for 4 to 8 months:

  • Accelerated Track: 4 months — intensive, full-time for rapid career entry
  • Standard Track: 6 months — balanced pace with comprehensive coverage
  • Extended Track: 8 months — part-time, ideal for working professionals

Each track includes hands-on projects, peer collaboration, and mentor-guided learning.

Entry Requirements

  • Analytical mindset and curiosity about data-driven discovery
  • Basic knowledge of statistics and probability
  • Familiarity with spreadsheets (Excel or Google Sheets)
  • Undergraduate degree in any discipline (STEM preferred but not required)
  • Successful completion of the academy's aptitude assessment
  • Commitment to the full programme duration
Certification

Your Certification

Complete your programme and earn the LEKKI TECH ACADEMY Certificate in Data Science. You will also be prepared for globally recognised certifications:

Google Data Analytics Professional
AWS Certified Data Analytics
Microsoft PL-300 Power BI
FAQs

Frequently Asked Questions

While prior programming experience is helpful, it is not mandatory for our foundational courses. We start with Python fundamentals and gradually introduce more advanced concepts. A willingness to learn and analytical thinking are the most important prerequisites.

Data analytics focuses on examining historical data to identify trends and answer specific questions. Data science is broader, incorporating predictive modelling, machine learning, and algorithm design. Our school offers pathways in both areas to match your career goals.

You will work with Python, R, SQL, Tableau, Power BI, Excel, Jupyter Notebooks, Apache Spark, and cloud platforms like AWS and Google Cloud. All necessary software and cloud credits are provided as part of the programme.

Yes, you will work with real-world datasets from various domains including finance, healthcare, e-commerce, and social media. Our industry partners provide anonymised datasets, and you will complete a capstone project using data from a real organisation.

We provide CV and portfolio review, mock technical interviews, career counselling, access to our employer network including data teams at leading companies, job placement assistance, and lifetime alumni community membership.

Ready to Turn Data into Decisions?

Start your data science journey and unlock insights that drive real-world impact.

Enrol Now
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