advance your career: Data Science, ML & AI

In collaboration with

Master the tools defining the future of tech. in just 12 months, you will go from learning core algorithms to building complex ai models. with real-world case studies, hands-on portfolio projects, and personalized 1-to-1 mentorship, we provide the exact blueprint you need to land elite data roles.

Master's in Data Analytics in 6 months with expert mentors from leading global companies — get job-ready from day one.

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Master's in Data Analytics in 6 months with expert mentors from leading global companies — get job-ready from day one.

Data is Future's 4 Step Path for your Guaranteed Success

The Data Science, Machine Learning & AI program offered by the SkillVersed Institute is developed with insights from industry experts and practitioners. SkillVersed’s comprehensive curriculum ensures you gain all the essential skills in data science, machine learning, and artificial intelligence, along with expert guidance, to help you secure your dream role in data science, AI engineering, or advanced analytics.

Career Growth Guarantee

With our guaranteed career support, mentorship, and placement guidance, you’ll have everything you need to start your professional journey in the UK with confidence.

 
Personal Mentorship from Industry Experts

Gain tailored 1:1 guidance and insights from top professionals throughout your learning journey.

Industry-Focused Learning

Master the essential tools, languages, and techniques shaping today’s data-driven workplaces.

Applied Learning Through Projects

Gain practical experience by working on 50+ guided projects and case studies drawn from real business environments.

trusted by / 300+ / Businesses Worldwide

Learn What Employers Value. Build What They Need.

Our curriculum is shaped by UK industry experts and focused on real skills that matter. From tools to techniques, every lesson prepares you for real opportunities ,So you graduate confident, capable, and career-ready.

PHASE 1

Data Foundations & Visualization

Build a strong foundation in data handling, analytics, and visualization. Learn to work with Excel, apply advanced functions for business insights, and create interactive dashboards that tell impactful stories.

Basic Excel
Key Areas of Learning
  • Introduction to Excel
  • Fundamentals of Excel
  • Data Exploration with Built-in Functions
  • Basic Visualization Analytics
  • Charts and Graphs
Advanced Excel
Key Areas of Learning
  • Functions
  • Lookup, VLOOKUP, INDEX, HLOOKUP
  • Date and Time Functions
  • Data Tables and Validation
  • Pivot Tables
  • Financial Functions
  • Macros & Coding
  • Custom Formatting and Advanced Filters
Storytelling & Dashboard Creation
Key Areas of Learning
  • Storytelling with Excel
  • Basics of Dashboarding
  • Creating Advanced Dashboards
PHASE 2

Analytical Tools & Techniques

Gain expertise in the core analytical tools of data Analytics. Develop skills in SQL for managing databases, apply statistics to solve business problems, and use Power BI to transform data into meaningful insights.

Basic SQL
Key Areas of Learning
  • Introduction to Databases & Queries
  • Extracting Data using SQL
  • Setting Up Big Queries
  • Function Filtering & Sub-Queries
  • Join Sub Queries
Probability & Statistics
Key Areas of Learning
  • Probability
  • Bayes Theorem
  • Distribution
  • Descriptive Statistics & Outliers Treatment
  • Hypothesis Testing & AB Testing
Power BI
Key Areas of Learning
  • Introduction Power BI
  • Cleaning, Transforming, & Loading Data
  • Designing a Data Model
  • Visualisation
  • Introduction to DAX
PHASE 3

Python & Data Engineering

Step into Python programming and modern data engineering. Learn to write Python for analytics and AI, clean and transform raw data, and create compelling visualizations with Python's libraries.

Python Programming
  • Programming Foundation
  • Condition & Loops
  • Functions
Data Wrangling
  • Numpy
  • Pandas
  • Data Acquisition
Data Visualization
  • Matplotlib
  • Seaborn
  • Visualisation using Charts & Graphs
PHASE 4

Generative AI With Git & GitHub

Generative AI with Git and GitHub boosts collaboration and automates data projects, Streamlining workflows and improving efficiency in analytics and model development.

Gen AI Basics
  • Understanding GPT
  • Basics of AI
  • Types of Generative AI Models
Gen AI Frameworks
  • LangChain
  • Vector Databases (ChromaDB, FAISS)
  • OpenAI API
Git & GitHub
  • Overview of Git
  • Installation of Git & Shell
  • Working with Branches
PHASE 5

Career Acceleration & Professional Excellence

Master the art of crafting standout resumes and compelling cover letters to enhance your chances of being shortlisted. Grasp the significance of optimizing your LinkedIn and GitHub profiles.

Career Services & Prep
  • Resume Building & Cover Letter
  • LinkedIn & GitHub Optimization
  • Mock Interviews

Tools & Technologies Covered

Explore the wide range of tools and technologies you'll master throughout our programs.

Excel
GitHub
ChatGPT
Hugging Face
Keras
NumPy
OpenCV
Pandas
Python
R
Scikit Learn
SciPy
Seaborn
spaCy
Tableau
TensorFlow
Sarah Johnson

Data Analyst Microsoft UK

“DataIsFuture completely transformed my career. I went from retail to a data analyst job at Microsoft. The hands-on data analytics course and placement guarantee gave me the confidence. The instructors at the best institute for data analytics were incredibly supportive.”

James Wilson

Machine Learning Engineer Google

“The curriculum to learn data science is perfectly aligned with industry needs. I learned everything for my data science career, from Python to advanced ML. The projects prepared me for challenges at Google. Highly recommended.”

Emma Davis

AI Specialist Amazon Web Services

“The Pay After Placement option on their AI courses made it risk-free. Now I’m earning £48k+ at AWS. They helped with interview prep and salary negotiation for my AI career.”

Michael Chen

Senior Data Scientist Barclays Investment Bank

“Coming from finance, the technical transition for my data science career was a concern. DataIsFuture’s mentorship was incredible. The portfolio projects I built directly helped me land my data scientist role at Barclays.”

Priya Patel

Data Analytics Manager Tesco Digital

“The Microsoft collaboration for the data analyst certification was a game-changer. It made me stand out for data analyst jobs in the UK. The career coaching helped me negotiate a manager-level position.”

Sophia Turner

Business Intelligence Analyst Accenture UK

“The hands-on projects and mentorship helped me break into analytics with confidence. The placement support was excellent, and within months I secured a BI Analyst role at Accenture.”

Daniel Roberts

AI Research Associate NVIDIA AI Labs

“I joined with zero experience in artificial intelligence. The curriculum, mentorship, and live projects gave me practical exposure that directly helped me land my AI role.”

 

Olivia Martin

Data Engineer IBM UK

“The course structure was extremely practical and industry-focused. From SQL and Python to cloud technologies, everything prepared me for real-world data engineering challenges.”

Ethan Walker

Cloud Data Analyst Deloitte UK

“The mentorship and career guidance exceeded my expectations. The real-world case studies and portfolio projects gave me the confidence to transition into a cloud analytics career successfully.”

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