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Data Science

***Special Gifts : [4 more courses as GIFT + 5 FREE PDF & 5 Hard Copy Certificate] | Lifetime Access


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Summary

Price
Save 99%
£12 inc VAT (was £1,599)
Offer ends 27 May 2022
Study method
Online, self-paced
Duration
22 hours
Access to content
Lifetime access
Qualification
No formal qualification
CPD
23 CPD hours / points
Optional extras

Digital certificate included in price

Additional info
  • Tutor is available to students

62 students purchased this course

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Overview

Special Gifts from Course Central: We are offering 4 more courses including Leadership & Management, Time Management, Communication Skills and Personal Hygiene as Holiday gifts with this Data Science & Machine Learning with Python course. So, you will get a total of 5 courses just for £10! (worth £1599)!

Courses included with this Payroll Management Course

  • Course 1: Data Science & Machine Learning with Python
  • Course 2: CPD Accredited Leadership & Management Course (GIFT)
  • Course 3: CPD Accredited Time Management Course (GIFT)
  • Course 4: CPD Accredited Communication Skills Course (GIFT)
  • Course 5: CPD Accredited Personal Hygiene Course (GIFT)

This Data Science & Machine Learning with Python course is designed for professionals who want to thrive in their profession. The course covers all the essential skills and knowledge needed to become specialised in this sector. You will learn real life knowledge and expertise from the industry experts and practitioners from this Data Science & Machine Learning with Python course.

The Data Science & Machine Learning with Python course starts with the basic knowledge of Data Science & Machine Learning and gradually shares expertise knowledge. In this Data Science course you will get a complete idea of Data Science & Machine Learning with Python with key concepts, strategies regarding use of it and in-depth knowledge. The Data Science & Machine Learning with Python course is completely an online course. You can access this Data Science & Machine Learning with Python course from any part of the world with just a smart device and the internet.

By the end of this Data Science & Machine Learning with Python course, you will get complete knowledge and marketable skills. The course also comes with an Accredited certificate, which will add extra value to your resume and help you stand out in the job market. In short, Data Science & Machine Learning with Python course is the perfect course to fast track your career. So, what are you waiting for? Enrol this Data Science & Machine Learning with Python course today!

What you will learn from Data Science & Machine Learning with Python course?

  • Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
  • How to create a resume and land your first job as a Data Scientist
  • How to write complex Python programs for practical industry scenarios
  • Learn to use NumPy for Numerical Data
  • Supervised vs Unsupervised Machine Learning
  • Machine Learning Concepts and Algorithms
  • Use Python to clean, analyze, and visualize data
  • Statistics for Data Science
  • Learn data cleaning, processing, wrangling and manipulation
  • How to use Python for Data Science
  • Learn Plotting in Python (graphs, charts, plots, histograms etc)
  • Machine Learning and its various practical applications
  • Learn Regression, Classification, Clustering and Sci-kit learn
  • K-Means Clustering
  • Building Custom Data Solutions
  • Probability and Hypothesis Testing

Why Choose Python for Data Science & Machine Learning from A-Z course?

  • Accredited by CPD
  • Conducted by industry experts
  • Get Instant E-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified professionals
  • Self-paced learning and laptop, tablet, smartphone-friendly.
  • Tutor Support

And you will also get these gifts

  • Free PDF Certificate
  • Free Hard Copy Certificate
  • Lifetime Course Access

CPD

23 CPD hours / points
Accredited by The CPD Group

Course media

Description

Course Curriculum

*** Data Science & Machine Learning with Python ***

Data Science & Machine Learning - Introduction

  • Who is This Course For?
  • Data Science + Machine Learning Marketplace
  • Data Science Job Opportunities
  • Data Science Job Roles
  • What is a Data Scientist?
  • How To Get a Data Science Job
  • Data Science Projects Overview

Data Science & Machine Learning Concepts

  • Why Do We Use Python in Data Science?
  • What is Data Science?
  • What is Machine Learning?
  • Machine Learning Concepts & Algorithms
  • What is Deep Learning?
  • Machine Learning vs Deep Learning

Data Science & Machine Learning - Python For Data Science

  • What is Programming in Data Science?
  • Why Python for Data Science?
  • What is Jupyter in Data Science?
  • What is Google Colab in Data Science?
  • Python Variables, Booleans and None in Data Science
  • Getting Started with Google Colab in Data Science
  • Python Operators in Data Science
  • Python Numbers & Booleans in Data Science
  • Python Strings in Data Science
  • Python Conditional Statements in Data Science
  • Python For Loops and While Loops in Data Science
  • Python Lists in Data Science
  • More about Lists in Data Science
  • Python Tuples in Data Science
  • Python Dictionaries in Data Science
  • Python Sets in Data Science
  • Compound Data Types & When to use each one in Data Science?
  • Python Functions in Data Science
  • Object Oriented Programming in Python Data Science

Data Science & Machine Learning - Statistics for Data Science

  • Intro To Statistics in Data Science
  • Descriptive Statistics in Data Science
  • Measure of Variability in Data Science
  • Measure of Variability Continued in Data Science
  • Measures of Variable Relationship in Data Science
  • Inferential Statistics in Data Science
  • Measure of Asymmetry in Data Science
  • Sampling Distribution in Data Science

Data Science & Machine Learning - Probability & Hypothesis Testing

  • What Exactly is Probability in Data Science?
  • Expected Values in Data Science
  • Relative Frequency in Data Science
  • Hypothesis Testing Overview in Data Science

Data Science & Machine Learning - NumPy Data Analysis

  • Intro NumPy Array Data Types in Data Science
  • NumPy Arrays in Data Science
  • NumPy Arrays Basics in Data Science
  • NumPy Array Indexing in Data Science
  • NumPy Array Computations in Data Science
  • Broadcasting in Data Science

Data Science & Machine Learning - Pandas Data Analysis

  • Introduction to Pandas in Data Science
  • Introduction to Pandas Continued in Data Science

Data Science & Machine Learning - Python Data Visualization

  • Data Visualization Overview in Data Science
  • Different Data Visualization Libraries in Python in Data Science
  • Python Data Visualization Implementation in Data Science

Data Science & Machine Learning - Machine Learning

  • Introduction To Machine Learning

Data Science & Machine Learning - Data Loading & Exploration

  • Exploratory Data Analysis

Data Science & Machine Learning - Data Cleaning

  • Feature Scaling
  • Data Cleaning

Data Science & Machine Learning - Feature Selecting and Engineering

  • Feature Engineering

Data Science & Machine Learning - Linear and Logistic Regression

  • Linear Regression Intro
  • Gradient Descent
  • Linear Regression + Correlation Methods
  • Linear Regression Implementation
  • Logistic Regression

Data Science & Machine Learning - K Nearest Neighbors

  • KNN Overview
  • parametric vs non-parametric models
  • EDA on Iris Dataset
  • The KNN Intuition
  • Implement the KNN algorithm from scratch
  • Compare the result with the sklearn library
  • Hyperparameter tuning using the cross-validation
  • The decision boundary visualization
  • Manhattan vs Euclidean Distance
  • Feature scaling in KNN
  • Curse of dimensionality
  • KNN use cases
  • KNN pros and cons

Data Science & Machine Learning - Decision Trees

  • Decision Trees Section Overview
  • EDA on Adult Dataset
  • What is Entropy and Information Gain?
  • The Decision Tree ID3 algorithm from scratch Part 1
  • The Decision Tree ID3 algorithm from scratch Part 2
  • The Decision Tree ID3 algorithm from scratch Part 3
  • ID3 – Putting Everything Together
  • Evaluating our ID3 implementation
  • Compare with sklearn implementation
  • Visualizing the tree
  • Plot the features importance
  • Decision Trees Hyper-parameters
  • Pruning
  • [Optional] Gain Ration
  • Decision Trees Pros and Cons
  • [Project] Predict whether income exceeds $50K/yr – Overview

Data Science & Machine Learning - Ensemble Learning and Random Forests

  • Ensemble Learning Section Overview
  • What is Ensemble Learning?
  • What is Bootstrap Sampling?
  • What is Bagging?
  • Out-of-Bag Error (OOB Error)
  • Implementing Random Forests from scratch Part 1
  • Implementing Random Forests from scratch Part 2
  • Compare with sklearn implementation
  • Random Forests Hyper-Parameters
  • Random Forests Pros and Cons
  • What is Boosting?
  • AdaBoost Part 1
  • AdaBoost Part 2

Data Science & Machine Learning - Support Vector Machines

  • SVM Outline
  • SVM intuition
  • Hard vs Soft Margins
  • C hyper-parameter
  • Kernel Trick
  • SVM – Kernel Types
  • SVM with Linear Dataset
  • SVM with Non-linear Dataset
  • SVM with Regression
  • [Project] Voice Gender Recognition using SVM

Data Science & Machine Learning - K-means

  • Unsupervised Machine Learning Intro
  • Unsupervised Machine Learning Continued
  • Data Standardization

Data Science & Machine Learning - PCA

  • PCA Section Overview
  • What is PCA?
  • PCA Drawbacks
  • PCA Algorithm Steps (Mathematics)
  • Covariance Matrix vs SVD
  • PCA – Main Applications
  • PCA – Image Compression
  • PCA Data Preprocessing
  • PCA – Biplot and the Screen Plot
  • PCA – Feature Scaling and Screen Plot
  • PCA – Supervised vs Unsupervised
  • PCA – Visualization

Data Science & Machine Learning - Data Science Career

  • Creating A Data Science Resume
  • Data Science Cover Letter
  • How to Contact Recruiters
  • Getting Started with Freelancing
  • Top Freelance Websites
  • Personal Branding
  • Networking Do’s and Don’ts
  • Importance of a Website

Certification

By the successful completion of the Data Science & Machine Learning with Python course, you will get an instant Accredited e-certificate. Our courses are fully Accredited with updated industry knowledge and skills that aim at making you an expert in the field. The hard copy of the certificate is also available and can be sent to your address. The delivery charge is applicable which will be £4.99.

Who is this course for?

This Data Science & Machine Learning with Python course is ideal for those who work in or aspire to work in the following professions:

  • Data Science : Data Scientist
  • Data Science : Data Analyst
  • Data Science : Software Developer
  • Data Science : Data Engineer
  • Anyone who wants to learn Data Science & Machine Learning with Python.

Requirements

Data Science & Machine Learning with Python

  • Students should have basic computer skills
  • Students would benefit from having prior Python Experience but not necessary

Career path

This Data Science & Machine Learning with Python training course will lead you to many different career opportunities, here are few prospects:

  • Python Software Engineer- £60,000per annum
  • Data Scientist - £73,420 per annum
  • Professional Python Developer-£89,977 per annum

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Optional extras

Digital certificate

Certificate of completion is included in course price

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

FAQs

What does study method mean?

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

What are CPD hours/points?

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

What is a ‘regulated qualification’?

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

What is an ‘endorsed’ course?

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.