#1 Data Science Course in UK (Online Certification)
Trained 3400+ Professionals in Data Science Course in UK
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Hands on Training
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Curriculam
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This is our very first module of the Data Science course in the UK. It covers essential tools and concepts, including machine learning, statistical inference, and handling data at scale. At Findmytuition, we aim to provide in-depth knowledge to our students. By enrolling in our Data Science certification course, you will explore various data sources, web APIs, and page scraping. Learn powerful techniques to analyze data effectively. Join our upcoming batches at the best Data Science institute in the UK.
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This module introduces the fundamentals of Data Science, providing insights into its growing relevance across various industries. You will explore different types of data, methods for gathering and cleaning data, and how businesses leverage data-driven decisions. By the end of this module, you will have a strong understanding of the Data Science ecosystem and the career opportunities within this field.
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SQL is essential for working with databases and managing large datasets. This module will help you develop a strong foundation in writing queries, manipulating data, and performing complex operations using SQL. You’ll explore techniques such as joins, subqueries, and optimization methods to enhance database performance. By the end, you will be able to extract meaningful insights from structured databases confidently.
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Python is one of the most widely used programming languages in Data Science. This module introduces Python fundamentals, followed by data manipulation techniques using powerful libraries like Pandas and NumPy. You’ll also learn how to visualize data effectively and apply statistical analysis to extract insights. Through hands-on exercises, you’ll gain practical experience in solving real-world data problems using Python.
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Tableau is a leading tool for data visualization, allowing users to create interactive dashboards with ease. This module covers everything from basic visualization techniques to advanced analytics, including predictive modeling. You will learn how to present complex data in an easy-to-understand format, making it valuable for decision-making. By the end of this module, you will be able to create professional dashboards and reports for business insights.
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Power BI is a powerful business intelligence tool that helps organizations analyze and visualize data effectively. This module will teach you how to connect different data sources, transform data, and create compelling reports using Power BI. You will also explore DAX functions to perform advanced calculations and share reports within teams. By the end of this module, you’ll be able to design dynamic dashboards that enhance data-driven decision-making.
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Faq's on Data Science Course in UK
If you are looking for the best data science institute in the UK, Find My Tuition is the right choice! They offer a mix of theoretical and practical training to help you become a professional. Choose from weekday or weekend batches as per your convenience.
Once you enroll with Find My Tuition, you will explore various data science courses and be prepared for job interviews through mock tests. After completing the course, you will have access to internship programs and placement support.
The fee structure for a data science course at Find My Tuition is affordable for all aspiring students. Prices range from £35k to £45k. Enroll today to secure your spot!
The classroom or online course duration starts at three months, with options for six months or a one-year diploma. Longer courses cover more in-depth modules to enhance your knowledge.
Yes! Upon course completion, you will receive an authorized and recognized certification. A three-month course provides a completion certificate, while six-month and one-year courses also include an internship letter from our industry partners.
Yes, our trainers have 8+ years of experience in top tech companies. They provide both group and one-on-one training, practical learning, and career guidance to enhance your skills and improve job prospects.
Yes! Our trainers are available for doubt-clearing sessions. You can also access recorded lectures or schedule additional support sessions based on availability.
Yes! There is no age limit for learning. Whether you're a school graduate, a university student, or a working professional, you can enroll and gain industry-recognized certifications.
Yes! We provide both online and offline training. Online classes offer the same knowledge as in-person sessions, with slight fee variations depending on the format chosen.
Yes! We offer free demo sessions, both online and offline. Select your preferred subject and time to assess the quality of teaching at FindMyTuition.
Yes! Courses longer than three months include internship opportunities. A six-month course provides an internship letter, and a one-year course includes a paid internship for six months.
Yes! Students enrolling in courses of six months or more will receive internship opportunities, along with an official internship letter for career benefits. A one-year course includes a paid internship.
We combine lecture-based and discussion-based learning. This interactive approach helps students develop a deeper understanding and engage actively with the subject.
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Know More About Data Science Course
Data Science is the process of analyzing and understanding data to make better decisions. It involves collecting, cleaning, and using data with the help of statistics and machine learning to find patterns and insights.
- Supervised Learning is the model learned from labeled data (data with answers). For e.g. predicting house prices based on past sales data.
Unsupervised Learning is the model that finds patterns in data without predefined answers. For e.g. Grouping customers based on shopping habits.
Logistic regression is a method used to predict outcomes that have only two possibilities, like "yes" or "no." For e.g., predicting whether an email is spam or not.
Regression: Used for predicting continuous values (e.g., predicting a person’s salary based on experience).
- Classification: Used for categorizing data into groups (e.g., classifying emails as spam or not spam).
Ensemble learning is a technique where multiple machine learning models are combined to make better predictions. It improves accuracy by reducing errors from individual models.
Data cleaning is crucial because incorrect, missing, or inconsistent data can lead to wrong conclusions. Clean data ensures accurate results and better decision-making.
A decision tree is a simple way to make decisions by splitting data into smaller parts. It looks like a flowchart, where each branch represents a choice leading to different outcomes.
Some popular deep learning frameworks are:
TensorFlow
PyTorch
Keras
Theano
These help in building AI models for tasks like image recognition and speech processing.
To keep a model working well after deployment, you should:
- Regularly check its accuracy.
- Update it with new data.
- Monitor for errors and retrain if needed.
Some widely used libraries include:
- Scikit-learn (for basic ML models)
- Pandas (for handling data)
- NumPy (for mathematical operations)
- Matplotlib & Seaborn (for data visualization)
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Choosing the right course can be overwhelming, but you don’t have to do it alone. Whether you’re looking to start a career in Data Science, Data Analytics, or Generative AI, our expert team is here to guide you every step of the way.
