Data Science

Data Analytics Training + Remote UK Internship

Launch Your Data Analytics Career in Just 3 Months — With a Live, Remote UK Internship!

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Join the Upcoming batch now

16 Weeks

16 Modules

60+ Video Lessons

16 Projects

Your Mentor

Indhu

Lead Trainer | Data Enthusiast | Career Coach

Indhu is a highly skilled Data Analyst and Educator with hands-on experience in Python, SQL, Power BI, and Tableau. She has delivered impactful, real-world projects across industries including e-commerce, healthcare, and AI-driven analytics. With a background in Computer Science Engineering, she has mentored hundreds of aspiring analysts — turning complex concepts into accessible, industry-ready skills. Her teaching blends technical depth with career-driven clarity to help learners transform knowledge into opportunity.

Course Overview

The Data Analytics Training + Remote UK Internship program is a comprehensive, three-month experience designed to launch your career in data analytics. Combining live online classes with a remote, project-based internship, this full-time program immerses you in real-world data challenges for eight hours each day—two hours of interactive instruction and six hours of hands-on internship projects with UK organizations. All sessions are conducted in English, and successful participants receive a certification from InternZity Ltd (UK), making this an ideal pathway for those seeking international exposure and practical skills.

Throughout the program, you’ll engage in over 50 live, mentor-led classes, working with real datasets and industry-standard tools like Python, Excel, SQL, Power BI, and Tableau. The curriculum covers everything from data cleaning and exploratory analysis to dashboarding, business intelligence, and predictive modeling, while also offering mock interviews, career mentorship, and workshops to optimize your resume and LinkedIn profile. Additional resources include a freelance starter pack, personal branding kit, and ongoing placement support, ensuring you graduate with both the technical expertise and professional toolkit needed to thrive in the data analytics field.

What You'll Work On

Analyze real-world datasets to uncover business insights
Clean and transform raw data for meaningful reporting
Simulate end-to-end analytics workflows from data ingestion to dashboarding
Write SQL queries to extract, join, and filter business data
Build interactive dashboards using Power BI and Tableau
Create predictive models (regression, classification) to solve business problems
Present executive-level reports with actionable insights
Collaborate on live projects that mirror real industry case studies

What You'll Get

A UK Internship Certificate from partnering UK-based organisations
Hands-on exposure to global data standards, tools, and documentation
A portfolio packed with dashboards, SQL queries, reports, and models
Mentorship and feedback from experienced data professionals
Real-world project tasks that simulate actual business analytics challenges
Weekly feedback loops, presentation opportunities, and skill-building reviews

Stand Out Where It Counts

While others are stuck in theory-land, you’ll be deep in the data — cleaning messy spreadsheets, building dashboards, writing SQL, and turning raw numbers into real insights.
This isn’t just another course. It’s your launchpad to global credibility, with a UK internship that fills your portfolio (and your confidence) with the kind of work that recruiters actually want to see.
You won’t just learn data — you’ll live it.

Quick Note

Yes, the internship is remote. Yes, it’s unpaid. And no, it doesn’t come with a job or UK visa. But what it does give you is real project experience, international exposure, and a portfolio that proves you’re more than just another resume.

Tools You'll Master

Category	Tools & Technologies
Python Stack	Google Colab, Pandas, NumPy, Seaborn, Scikit-learn
BI & Dashboarding	Excel, Power BI, Tableau
SQL Environment	MySQL/PostgreSQL, JOINs, Window Functions
Data Storytelling & Reports	Executive report writing, PDF decks, visual storytelling

You’ll Build a Portfolio That Speaks Data

Dashboards, Python notebooks, SQL queries, and business reports
Projects and assignments that mirror real-world analytics work
Digital proof of skill — polished, practical, and presentation-ready

You'll work with the same tools used by analysts in top companies, and your portfolio will show it.

Heads-Up

Technology keeps evolving — and so do we. Some tools may change depending on updates, access, or trends, but rest assured: you’ll always get your hands on the best and most relevant alternatives to keep your learning cutting-edge and industry-aligned.

Who This Course is For

Fresh graduates (BCA, BSc, BCom, or non-tech) eager to step into the world of data
Career switchers from finance, marketing, teaching, admin, or operations looking to transition into data roles
Learners from smaller cities seeking premium-quality training and global exposure
Career restarters, especially women rejoining the workforce after a break and looking for remote learning with real projects
Freelancers ready to offer Excel dashboards, SQL reports, Power BI services, or data cleaning gigs online
Job seekers aiming for roles in data analysis, business intelligence, reporting, or junior data science
Learners preparing for competitive exams but wanting to build strong digital and data-centric skills alongside
College students eager to add real-world analytics projects and a global internship to their resume before graduating

Learning Roadmap

Data & Python Foundations

Kick off your journey by understanding the role of data analysts and setting up your Python environment. Get hands-on with Google Colab and summarize your first dataset in Python.

Week 1 • Module 1

String Handling & Input Automation

Master string operations, formatting, and input functions in Python. Build your first mini-project by automating text-based input processing with a resume generator.

Week 2 • Module 2

Data Structures for Real-World Data

Learn to manage structured data using lists, sets, and dictionaries. Organize e-commerce-like data with nested dictionaries and iteration.

Week 3 • Module 3

Control Flow & Logic Building

Develop core programming logic using if-else, loops, and custom functions. Build foundational apps like calculators or grading systems.

Week 4 • Module 4

File Handling & OOP Basics

Read and write files, handle exceptions, and create basic classes in Python. Apply these skills to build a student database mini-application.

Week 5 • Module 5

Numerical Computing with NumPy

Perform fast numerical operations, array manipulations, and matrix calculations using NumPy. Optimize mathematical workflows for business data.

Week 6 • Module 6

Data Wrangling with Pandas

Clean and manipulate tabular data using Pandas DataFrames, groupby, and filters. Prepare and analyze real-world sales datasets.

Week 7 • Module 7

Data Cleaning & Outlier Detection

Handle missing values, duplicates, and messy data with Pandas and regex. Clean feedback datasets for accurate analysis.

Week 8 • Module 8

Exploratory Data Analysis & Visualization

Visualize data patterns and relationships using Seaborn and Matplotlib. Turn raw customer data into actionable visual stories.

Week 9 • Module 9

Statistics & Probability for Analysts

Apply statistical concepts like mean, standard deviation, distributions, and sampling to real datasets. Extract deeper insights from business data.

Week 10 • Module 10

Hypothesis Testing & Correlation

Validate business assumptions using t-tests, ANOVA, and correlation analysis. Make data-backed decisions by comparing regions or segments.

Week 11 • Module 11

Regression & Classification Models

Build predictive models using linear and logistic regression in scikit-learn. Solve real business problems like customer churn prediction.

Week 12 • Module 12

Excel for Data Analysis

Analyze and visualize data with Excel tools like Pivot Tables, Charts, and What-If analysis. Build dashboards for monthly sales reporting.

Week 13 • Module 13

Power BI for Business Intelligence

Create interactive dashboards in Power BI using DAX, slicers, and maps. Publish dynamic sales dashboards for executive reporting.

Week 14 • Module 14

SQL & Tableau for Reporting

Query business data with SQL and build dashboards in Tableau. Combine SQL-based insights with live data storytelling.

Week 15 • Module 15

Job Readiness & Prompt Engineering

Polish your resume, LinkedIn, and portfolio. Learn prompt engineering with ChatGPT and showcase your data analyst skills for freelance and job opportunities.

Week 16 • Module 16

Course Details

Duration

16 Weeks

Time Commitment

40-45 hours per week

Skill Level

Beginner to Advanced

Support

24/7 chat support, bi-weekly live Q&A

Resources

50+ code examples, starter templates

Course Pricing

£300

Full course access for 1 year
Certificate of completion
1-on-1 career counseling session
Job placement assistance
Access to alumni network

Decode Data. Deliver Insights. Dominate the Future.

Real Apps. Real Code. Real Confidence. Every InternZity student receives a practical toolkit to become a production-ready Data Analyst:

Data Analytics Training + Remote UK Internship

Your Mentor

Indhu

Course Overview

What You'll Work On

What You'll Get

Stand Out Where It Counts

Quick Note

Tools You'll Master

You’ll Build a Portfolio That Speaks Data

Heads-Up

Who This Course is For

Course Curriculum

Module 1: Intro to Data & Python Setup

Module 2: String Operations & Input Handling

Module 3: Data Structures in Python

Module 4: Control Flow & Functions

Module 5: File I/O & OOP Basics

Module 6: NumPy for Computation

Module 7: Data Wrangling with Pandas

Module 8: Data Cleaning & Outlier Handling

Module 9: Exploratory Data Analysis & Viz

Module 10: Statistics & Probability

Module 11: Hypothesis Testing & Correlation

Module 12: Regression & Classification

Module 13: Excel for Analysts

Module 14: Power BI for Business Intelligence

Module 15: SQL & Tableau for Reporting

Module 16: Job Readiness + Prompt Engineering