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Data Science Course in London

A professional data science expert analysing data patterns and insights using advanced tools and visualisations.
Join Edoxi’s 75-hour Data Science training in London. Flexible scheduling available in classroom and online formats. Get trained in Python programming, MySQL databases, Power BI, and machine learning fundamentals. Gain practical skills that prepare you for data analytics and junior data science roles across multiple industries. Build a career in data. Join Today!
Course Duration
75 Hours
Corporate Days
5 Days
Learners Enrolled
50+
Modules
6
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Course Rating
4.9
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Mode of Delivery
Online
Classroom
Certification by

What Do You Learn from Edoxi's Data Science Training

Python Programming for Data Analysis
Learn the basics of Python syntax, data structures, and essential programming concepts.
Data Manipulation with Pandas and NumPy
You get the opportunity to clean, transform, and analyse structured datasets efficiently.
SQL Database Management and Querying
Grow your expertise in designing databases, writing queries, and managing data using MySQL.
Interactive Business Intelligence Dashboards
Acquire hands-on experience in creating compelling visualisations and reports using Power BI tools.
Statistical Analysis for Data Science
You become proficient in hypothesis testing, probability distributions, and regression techniques for analysis.
Machine Learning Fundamentals and Predictive Modelling
Learn supervised and unsupervised algorithms to build foundational predictive models.

About Our Data Science Course in London

Edoxi’s 75-hour Data Science training in London to learn analytical skills to prepare professionals and graduates for job opportunities in a data analytics role. Specifically tailored to beginners in data analytics, career changers or non-technical professionals. The customised curriculum provides a foundational understanding of Python, SQL, Power BI, and introductory machine learning. 

As a leading corporate training organisation, Edoxi’s 75-hour Data Science certification in London provides hands-on application of Python libraries such as Pandas & Matplotlib to simulated scenarios via dedicated labs. Your team gets the opportunity to train on database design with MySQL, creating interactive dashboards using Power BI, and other futuristic data analysis tools. Activities curated to enhance your skills in data cleaning, data manipulation, data visualisation and basic predictive modelling.

The knowledge and skills gained from this course prepare participants to fill entry-level positions in data analytics and trainee data scientist positions. Skills and abilities acquired are directly translated into the business environment, in operations, finance, HR, Sales, Supply Chain and project management. You and your team gain the ability to articulate findings and communicate the results to the appropriate stakeholders.

As our data science training is completely customisable, the fee structure and scheduling options can vary. Contact our team for detailed course pricing details. Contact us now!

Key Features of Edoxi's Data Science Training

Python Programming Exercises with Real Datasets

You can excel in data manipulation using Pandas and NumPy libraries on authentic business data.

Live Demonstrations of Data Workflows

Get the exclusive opportunity to observe end-to-end data analysis processes from acquisition to insight generation.

MySQL Database Implementation Projects

Master in designing schemas, establishing relationships, and executing SQL operations in practical scenarios.

Power BI Dashboard Development

Your teams can build interactive reports connecting multiple data sources with calculated measures.

Customised Projects Based on Your Industry

Work on sector-specific case studies tailored to finance, healthcare, retail, or logistics domains.

Doubt Clearance and Personalised Guidance

Receive individual attention in small batches with dedicated trainer support.

Who Can Join Our Data Science Course in London?

Graduates from Any Discipline

Recent graduates aiming to start careers in data analytics without prior technical experience.

Non-Technical Professionals Transitioning to Data Roles

Individuals from finance, HR, sales, marketing, supply chain, or project management backgrounds.

Working Professionals Enhancing Analytical Capabilities

Employees responsible for reporting, dashboards, and performance tracking seeking data skills.

Business Analysts and Reporting Specialists

Professionals looking to expand into analytics and junior data science positions.

Corporate Teams Requiring Data Upskilling

Organisations aiming to develop data-driven decision-making capabilities across departments.

Career Switchers Seeking Analytics Entry Points

Passionate career switchers working with data and starting fresh in data analytics careers.

Data Science Course Module

Module 1: Python Fundamentals
  • Chapter 1.1: Introduction to Python Programming

    • Lesson 1.1.1: Python applications and development environment setup
    • Lesson 1.1.2: Basic syntax and data types
    • Lesson 1.1.3: Variables and operators
  • Chapter 1.2: Control Flow and Functions

    • Lesson 1.2.1: Conditional statements and looping structures
    • Lesson 1.2.2: Functions, modules, and code organisation
    • Lesson 1.2.3: File operations and exception handling
Module 2: Python Advanced Concepts
  • Chapter 2.1: Object-Oriented Programming

    • Lesson 2.1.1: Classes, objects, and inheritance
    • Lesson 2.1.2: Working with Python libraries
  • Chapter 2.2: Data Manipulation with Pandas

    • Lesson 2.2.1: DataFrame operations and CSV/Excel data reading
    • Lesson 2.2.2: Data cleaning, filtering, and handling missing values
    • Lesson 2.2.3: GroupBy, concat, and merge operations
  • Chapter 2.3: Data Visualisation

    • Lesson 2.3.1: Matplotlib fundamentals for plotting
    • Lesson 2.3.2: Seaborn for statistical visualisations
    • Lesson 2.3.3: Interactive charts with Plotly
Module 3: MySQL Database Management
  • Chapter 3.1: Relational Database Fundamentals

    • Lesson 3.1.1: Introduction to MySQL and server installation
    • Lesson 3.1.2: SQL statement fundamentals and data types
    • Lesson 3.1.3: Creating databases, tables, constraints, and indexes
  • Chapter 3.2: SQL Querying and Advanced Operations

    • Lesson 3.2.1: SELECT, INSERT, UPDATE, DELETE operations
    • Lesson 3.2.2: Joins, subqueries, and aggregations
    • Lesson 3.2.3: CTE, window functions, and stored procedures
Module 4: Power BI
  • Chapter 4.1: Power BI Essentials

    • Lesson 4.1.1: Introduction to Power BI features
    • Lesson 4.1.2: Importing and connecting data sources
    • Lesson 4.1.3: Data transformation with Power Query
  • Chapter 4.2: Reporting and Visualisation

    • Lesson 4.2.1: Data modelling and establishing relationships
    • Lesson 4.2.2: Creating calculated columns and measures
    • Lesson 4.2.3: Designing interactive dashboards and publishing reports
Module 5: Statistics for Data Science
  • Chapter 5.1: Statistical Foundations

    • Lesson 5.1.1: Descriptive statistics and measures of central tendency
    • Lesson 5.1.2: Probability distributions (discrete and continuous)
    • Lesson 5.1.3: Hypothesis testing and statistical significance
  • Chapter 5.2: Advanced Statistical Techniques

    • Lesson 5.2.1: Correlation and regression analysis
    • Lesson 5.2.2: Introduction to ANOVA
Module 6: Data Science
  • Chapter 6.1: Data Science Workflow

    • Lesson 6.1.1: Understanding the data science lifecycle
    • Lesson 6.1.2: Data acquisition and cleaning techniques
    • Lesson 6.1.3: Exploratory Data Analysis (EDA)
  • Chapter 6.2: Machine Learning Fundamentals

    • Lesson 6.2.1: Supervised and unsupervised learning algorithms
    • Lesson 6.2.2: Model evaluation and performance metrics
    • Lesson 6.2.3: Introduction to NLP and deep learning concepts

Download Data Science Course Brochure

Major Projects in Our Data Science Course in London

Our data science course in London provides hands-on lab sessions featuring Python programming tasks, MySQL database implementations, and Power BI dashboard development. The major lab activities and practical sessions in our data science certification are:

Projects

  • Python Project: Data Analysis and Visualisation

    Teams work on original datasets using Pandas and Matplotlib libraries. Perform data manipulation, statistical analysis, and create insightful visualisations to communicate findings effectively across business contexts.

  • MySQL Project: Database Management System

    You get the opportunity to design and implement comprehensive database schemas using MySQL. Chance to create tables, establish relationships, write SQL queries for insertion, retrieval, updates, and deletions.

  • Power BI Project: Interactive Dashboard

    Excel in creating interactive dashboards incorporating charts, graphs, and maps to present key insights. Your team connect multiple data sources, performs transformations, and creates calculated measures to enhance analytical capabilities.

  • Data Science Project: Predictive Modelling

    This project builds predictive models using machine learning algorithms. Perform data preprocessing, train-test splits, model training, hyperparameter tuning, and performance evaluation. Helps you to present results with appropriate visualisations for stakeholder communication.

Data Science Course Outcomes and Career Opportunities in London

Pursuing the Data Science course provides multiple career entry points into analytical and data-driven roles in London. 

Course Outcome Image
Enhanced the ability of teams to analyse and interpret complex datasets to support informed business decision-making.
Developed practical skills in Python, SQL, and data visualisation tools for effective data analysis and reporting.
Strengthened the capability to clean, organise, and manage large datasets to ensure accurate and reliable insights.
Build a strong foundation in machine learning techniques for creating predictive and data-driven models.
Improved ability to design interactive dashboards and visual reports to communicate insights clearly to stakeholders.
Expanded capability to apply data science techniques across multiple industries using real-world datasets and analytical methods.

Career Opportunities After Completing Our Data Science Training in London

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence (BI) Analyst
  • Data Engineer
  • AI Analyst
  • Quantitative Analyst
  • Analytics Consultant

Companies Hiring Data Science Professionals in London

  • Google
  • Amazon
  • Microsoft
  • IBM
  • Meta Platforms
  • Capgemini
  • Bloomberg
  • Palantir Technologies
  • Salesforce
  • Accenture

Data Science Training Options

Classroom Training

  • 75-Hour Data Analytics Course in London

  • Hands-on practice with real datasets

  • Direct trainer interaction and feedback

  • Dedicated workstations for exercises

  • Small batch or one-to-one learning

Live Online Training

  • 75-Hour Online Data Science Course

  • Interactive virtual sessions

  • Screen sharing for demonstrations

  • Cloud access to tools/datasets

  • Recorded sessions for revision

  • Learn at your own pace and convenience

Corporate Training

  • 5-Day Customised Data Science Training

  • Curriculum as per your requirements

  • Flexible venue: Hotel/Client premises/Edoxi

  • Flexible format: Classroom/Online/Hybrid

  • Food and refreshments provided

  • Fly-a-trainer option

  • Team-based business-aligned projects

  • Pre and Post-Assessments

Do You Want a Customised Training for Data Science?

Get expert assistance in getting your Data Science Course Customised!

How to Get Data Analytics Certified in London?

Here’s a four-step guide to becoming a certified Data Science professional.

Do You Want to be a Certified Professional in Data Science?

Join Edoxi’s Data Science Course

Why Choose Edoxi Training Ltd for Your Data Science Training in London?

Here are a few reasons why you should choose Edoxi Training Ltd for your Data Science Course in London:

Hands-On, Project-Based Learning

Immerse yourself in real-world data science through Edoxi’s practical projects that reinforce core concepts and build problem-solving skills.

Industry-Ready Portfolio Development

We help you create an impressive portfolio featuring four major projects using leading tools such as Python, MySQL, Power BI, and machine learning algorithms, demonstrating your readiness for the job market.

Structured, Progressive Curriculum

Our data science course starts with Python fundamentals and advances step-by-step into database management, business intelligence, statistics, and machine learning techniques.

Career-Focused Skill Building

You can gain the technical expertise and business acumen required to thrive in London’s fast-growing, data-driven industries.

End-to-End Learning Support

Your teams benefit from comprehensive guidance, including access to up-to-date tools, doubt clearance sessions, and career mentorship.

Gain a Data Science Certification

Upon successful completion of our data science course in London, you receive a course completion certificate from Edoxi Training Limited, London. This validates your skills to potential employers.

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Edoxi is Recommended by 95% of our Students

Meet Our Mentor

Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!

mentor-image

Nahid S

Nahid S. is an experienced educator with 8+ years of expertise in academia, training, and software development. Skilled in curriculum design, interactive training, and mentorship, she has equipped learners with hands-on skills in data analytics, data science, cloud computing, and software engineering. Nahid is an AWS Academy Accredited Educator, AWS Certified Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals, and Google Certified Educator (Level 1). She brings a strong technical foundation and industry credibility to the classroom, blending theoretical knowledge with practical applications.

Nahid has delivered engaging lectures and practical sessions across core and elective subjects, including Cloud Computing, Python, Machine Learning, and Data Science. Nahid has designed and implemented industry-relevant training programs that boost employability. With a strong focus on student development, she has provided mentorship in projects, internships, and career planning while organising workshops, seminars, and guest lectures to bridge the gap between academia and industry.

Locations Where Edoxi Offers Data Science Course

Here are the major international locations where Edoxi offers Data Science Course

FAQ

What is the Data Science course offered by Edoxi Training Limited in London?
  • Edoxi’s 75-hour Data Science course in London is a professional training program designed to teach corporate teams and individuals data analysis, machine learning, Python programming, SQL, and data visualisation skills required for modern data-driven careers.

Who can enrol in the Data Science course at Edoxi London?
Our data science course is suitable for graduates, working professionals, IT specialists, business analysts, and beginners who want to start or advance their careers in data science.
What skills will I learn in the Edoxi Data Science course in London?
You get to learn Python programming, SQL database management, statistical analysis, machine learning fundamentals, data visualisation, and dashboard creation using tools like Power BI.
Do I need programming experience to join the Data Science course?
No prior programming experience is required. Our data science course begins with Python fundamentals and gradually progresses to advanced data science concepts.
What tools and technologies are covered in the Edoxi Data Science course?
Our data science certification covers tools such as Python, Pandas, SQL, Power BI, Excel, and various machine learning libraries used for data analysis and modelling.
How long is the Data Science training program at Edoxi London?
Our data science training in London typically includes comprehensive instructor-led sessions with practical exercises and projects designed to build industry-relevant data science skills.
Will I work on real-world projects during the course?
  • Yes, in our data science course, learners work on practical projects and case studies that simulate real-world data science tasks such as data analysis, predictive modelling, and data visualisation.

What career opportunities are available after completing the course?
After completing our data science course, graduates can pursue roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Data Engineer.
Does Edoxi provide certification for the Data Science course?
Yes, you receive a professional course completion certificate from Edoxi after completing the training.
Are the Data Science classes suitable for beginners?
Yes, our data science classes are designed to guide beginners step-by-step from fundamental concepts to advanced data science techniques.
What industries hire data science professionals in London?
  • Industries such as finance, healthcare, retail, technology, marketing, and telecommunications actively hire data science professionals.

What is the demand for data science professionals in London?
London has a strong demand for data scientists and analysts as companies increasingly rely on data-driven strategies for growth and decision-making.
How does Edoxi’s Data Science course help build practical experience?
Our data science course emphasises hands-on learning through datasets, coding exercises, and project-based training to ensure students gain practical analytical skills.
Can working professionals attend the Data Science course at Edoxi London?
  • Yes, Edoxi offers flexible learning options that allow working professionals to upgrade their skills while managing their jobs.

What are the related courses that I can choose after your data science course in London?
  • The related courses you can choose after completing our data science course in London are: