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Data Science and Machine Learning with Python

A Beginner to Intermediate level 12-hour course delivered via Instructor-led Physical Classes or Virtual Classes.

Regular Price: £420
Batch Price: From £360   📅  View Dates & Prices

Group Booking Discount: From £240 per person  🧮 Calculate & Book

1-to-1 Training: £420  📋 Booking Request Form
Data Science and Machine Learning with Python Trainign Course

Course Overview

This course is designed to provide students with the knowledge and skills needed to perform data science using Python programming language. Students will learn to apply machine learning libraries such as Pandas, Seaborn and scikit-learn. The course will cover topics such as data cleaning, exploratory data analysis, machine learning algorithms, model evaluation, and selecting the appropriate model for business use.

Learning Objectives:

  • Understand the fundamental concepts of data science
  • Perform exploratory data analysis and visualization using Matplotlib and Seaborn libraries
  • Build predictive models using machine learning algorithms such as linear regression, logistic regression, decision trees, and random forests


Requirements

Basic programming knowledge in Python, familiarity with libraries like Numpy, Pandas, and Matplotlib.

We highly recommend you complete the following course(s) before attending the Data Science and Machine Learning with Python course:

You may also complete the following course(s) before attending the Data Science and Machine Learning with Python course but they are not mandatory:


Course Content

  1. Introduction to Data Science in Python
    • Overview of data science
    • Introduction to Python for data science
  2. Exploratory Data Analysis and Feature Selection
    • Data visualization techniques
    • Data exploration with Pandas and Matplotlib
    • What are features and how are they important
  3. Introduction to Machine Learning in Python
    • Overview of machine learning
    • Introduction to Python for machine learning
    • Introduction to Google Colab Notebook
  4. Machine Learning Basics
    • Introduction of Overfitting and Underfitting
    • Class Imbalance and its solution
    • Download the dataset from Kaggle
    • Data splitting and data preparation for the Machine learning model
    • Machine learning Basics and Types
    • Supervised, Unsupervised, Reinforcement learning with example
  5. Supervised Learning Algorithms
    • Linear regression
    • Logistic regression
    • Decision trees and random forests
    • Project: Wine Quality Predictions
  6. Model Evaluation and Selection
    • Model evaluation metrics
    • Cross-validation
    • Model selection techniques
    • Ensemble Model
    • Model save and load
  7. Real-world Examples
    • Some real-life business applications
    • Q&A and course feedback


Course Dates, Prices & Enrolment

Scroll right for more details
Delivery MethodDates & TimesHoursPriceEnrolment
Online Training using Zoom
02 Feb 2026 - 13 Feb 2026
Mon, Wed & Fri (2 wks)
03:00 PM - 05:00 PM BT
12-hour over 6-day
£360 £420
Enrol Now
Online Training using Zoom
21 Feb 2026 - 07 Mar 2026
3 Saturdays
10:00 AM - 02:00 PM BT
12-hour over 3-day
£360 £420
Enrol Now
Online Training using Zoom
02 Mar 2026 - 13 Mar 2026
Mon, Wed & Fri (2 wks)
03:00 PM - 05:00 PM BT
12-hour over 6-day
£360 £420
Enrol Now
Online Training using Zoom
30 Mar 2026 - 02 Apr 2026
Mon, Tue, Wed & Thu
02:00 PM - 05:00 PM BT
12-hour over 4-day
£360 £420
Enrol Now

Price Calculator & Booking Request Form

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What we do?

At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.

Our Contacts

London Academy of IT
64 Broadway
Stratford
London E15 1NT
United Kingdom

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