1. Programming Foundation and Setup (Week 1)
- •Introduction to data science workflow
- •Python basics for analysis and scripting
- •Working in Anaconda and Jupyter Notebook
- •Using Git and GitHub for project files
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-Recruiters prefer to hire Inventateq Students - Join Inventateq NowPlacements in Data Science: 1,342
Data Science Course in London with Certification
Join Inventateq data science training in London and build practical skills in Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Spark, Hadoop, Git, Docker, AWS SageMaker, and Google Cloud Vertex AI. The course is structured for learners who want hands-on data analysis, machine learning, and job-ready project work in London.
4.7/5 from 1,432 reviews
Live data science training in London with practical exercises
Python, R, SQL, Pandas, NumPy, and Scikit-learn covered step by step
Machine learning and deep learning tools used in real assignments
Tableau, Power BI, Excel, and database tools included
Certification support, resume help, and interview preparation included
Job Interview
Guarantee Program
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 90 Days + Placement
Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online
Free Session
1 Hour Training Session
Get Job with our Guaranteed Placement Support Program
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Placement Assistance for Data Science Careers in London
Learning data science is only useful when it leads to a job. Inventateq focuses on practical placement support for learners in London, with guidance that matches the roles companies actually hire for, such as Data Analyst, Junior Data Scientist, Machine Learning Engineer, and BI Developer.
Our Signature Career Support:
- Resume preparation focused on data science roles
- Portfolio help using Python, SQL, and analytics projects
- Mock interviews for analyst and machine learning interviews
- Career guidance for junior and mid-level data roles
- Placement support aligned to data analyst, BI, and data scientist openings
Data Science Salary Insights in London
London hires for data science across finance, consulting, retail, technology, and operations. Salary grows with project experience, tool depth, and the ability to work across analytics, machine learning, and deployment.
Data Science Average Salary by Experience
Data Science Salary Insights in London
London hires for data science across finance, consulting, retail, technology, and operations. Salary grows with project experience, tool depth, and the ability to work across analytics, machine learning, and deployment.
Data Science Average Salary by Experience
Why Students Choose Our Data Science Course in London?
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Success Result: Our students are competing at global levels. Watch their placement journey here.
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About Inventateq Data Science Training Institute in London
Inventateq teaches data science with a clear focus on tools, practice, and employability. The syllabus covers Python, R, SQL, pandas, NumPy, scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Spark, Hadoop, databases, Git, Docker, and cloud platforms, so learners work across the full data workflow instead of only theory.
We stand apart through our commitment to:
- Learn to clean, analyze, and model data using real tools
- Build projects with Python, SQL, machine learning, and visualization
- Get mentor support while working through assignments and case studies
- Prepare for roles like data analyst, BI analyst, and data scientist
- Choose batch options that suit classroom or live online learning
Live Online
Remote Learning
AI Online Live Classes
The live online data science class in London is built for learners who want flexibility without losing interaction. You still get live teaching, doubt clearing, practice tasks, and guidance on projects and interview preparation.
Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support
Data Science Training Program
Fresh graduates
Good for students who want a practical entry into data analyst and junior data science roles.
Working professionals
Useful for people moving from reporting, operations, finance, or support work into analytics.
Career switchers
Fits learners from non-data backgrounds who want structured training from basics to projects.
IT and software learners
Helps technical learners add Python, SQL, ML, and deployment skills for data roles.
Business and commerce students
Works well for learners who want analytics, dashboards, and business reporting skills.
Quick Highlights of Inventateq Data Science Course
Course Duration
Mode: Classroom and live online training
Focus: Python, SQL, ML, and analytics tools
Delivery: Practical sessions with assignments
Support: Mentor guidance throughout the course
No prior data science experience is required to join.
Data Science Curriculum
W1
2. Data Handling with Python Libraries (Week 2)
- •Pandas for data cleaning and manipulation
- •NumPy for numerical operations
- •Working with structured datasets
- •Preparing data for analysis and modeling
3. Data Sources and SQL (Week 3)
- •SQL basics for querying data
- •Working with MySQL and PostgreSQL
- •Understanding how databases support analytics
- •Pulling and filtering data for reports
4. Data Visualization and Reporting (Week 4)
- •Building charts and reports with Tableau
- •Creating business dashboards in Power BI
- •Using Excel for analysis and reporting
- •Presenting data in a clear, decision-friendly format
5. Statistics for Data Science (Week 5)
- •Core statistical concepts for analysis
- •Understanding patterns, averages, and spread
- •Using statistics to support model decisions
- •Interpreting data before machine learning
6. Supervised Machine Learning (Week 6)
- •Introduction to scikit-learn
- •Regression and classification ideas
- •Training and testing models
- •Evaluating model performance
7. Unsupervised Learning and Model Tuning (Week 7)
- •Clustering and grouping patterns in data
- •Feature selection and basic feature engineering
- •Model tuning and validation
- •Handling practical model improvement steps
8. Deep Learning Foundations (Week 8)
- •Neural network basics
- •TensorFlow and Keras for model building
- •PyTorch exposure for deep learning workflows
- •Understanding where deep learning fits
9. Data Science with Big Data Tools (Week 9)
- •Introduction to Apache Spark
- •Working with Hadoop concepts
- •Handling larger datasets in analytics workflows
- •Connecting big data tools to real projects
10. Applied Projects and Deployment (Week 10)
- •End-to-end project work using Python and ML tools
- •Using Docker for packaging work
- •Cloud exposure with AWS SageMaker and Google Cloud Vertex AI
- •Preparing and presenting project outcomes
Rated 4.9/5
Why Inventateq for Data Science Training in London?
Inventateq keeps the training practical from the first class. Learners work through Python, SQL, visualization, machine learning, and deployment topics in a sequence that matches how real data work is done.
Why Students Trust Inventateq London
- Trainers explain concepts with real tools, not just theory
- The curriculum follows a clear step-by-step learning path
- Assignments and projects are built into the training process
- Learners get support for resumes, interviews, and role selection
- The environment is practical, patient, and focused on outcomes
Build Data Science Skills That Lead to Job-Ready Work
By the end of the course, learners can handle data, write SQL queries, build models, create dashboards, and present project results. The training is designed so you leave with usable skills, not only notes.
Work with Real Data
Practice cleaning, transforming, and analyzing datasets using Python, Pandas, NumPy, and SQL.
Build Machine Learning Models
Learn how to train and evaluate models with scikit-learn and understand where each model type fits.
Create Clear Dashboards
Turn raw data into readable reports using Tableau, Power BI, and Excel.
Use Deep Learning Tools
Get exposure to TensorFlow, Keras, and PyTorch for modern model workflows.
Handle Bigger Data Workflows
See how Spark and Hadoop support large-scale data processing tasks.
Prepare for Interviews
Present projects clearly, explain tools confidently, and prepare for data science role interviews.
Data Science Certification
The certification shows that you have completed practical training in Python, SQL, data analysis, machine learning, visualization, and related tools. It helps employers see that your skills are backed by structured learning and project work.
Python, Pandas, NumPy, and SQL
Earn this certificate upon successful completion of our training program.
Scikit-learn, TensorFlow, Keras, and PyTorch
Validate your skills with recognized industry credentials.
Tableau, Power BI, and Excel
Earn this certificate upon successful completion of our training program.
Git, Docker, and cloud exposure with AWS SageMaker and Google Cloud Vertex AI
Validate your skills with recognized industry credentials.
Detailed Insights: Data Science Training in London
Students Frequently Asked Questions
Is this data science course suitable for beginners?
Yes, it is suitable for beginners who want a structured start in data science. The course begins with Python, SQL, and basic analysis before moving into machine learning and deeper tools. If you can follow a step-by-step class and practice regularly, you can handle the course.
Will I get hands-on projects?
Yes, the course is practical and includes assignments and project work. You will work with real tools like Python, Pandas, SQL, Tableau, and machine learning libraries. The goal is to help you explain your work clearly in interviews.
Does Inventateq provide placement assistance?
Yes, placement assistance is part of the training support. You get help with resume preparation, project presentation, mock interviews, and role guidance. The support is focused on helping you apply for roles such as data analyst, BI analyst, and junior data scientist.
Can non-technical students join this course?
Yes, non-technical students can join if they are ready to learn the basics step by step. The course starts from core foundations and moves into practical tools and models. Many learners use it to move into analytics or reporting roles first.
Is the course available online from London?
Yes, live online training is available for learners in London. You can attend classes in real time, ask questions, and complete assignments from home. The online format follows the same practical structure as classroom training.
What tools will I learn in this data science training?
You will learn Python, R, SQL, Anaconda, Jupyter Notebook, Pandas, NumPy, scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Excel, Spark, Hadoop, Git, Docker, and cloud tools. The syllabus is built around tools that are commonly used in data science and analytics roles. This makes the training useful for both analysis and machine learning work.
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