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Python: Data Science & Machine Learning
Course Central

*Special Gifts: Free PDF Certificate Included | CPD Accredited Course | Video Training

Summary

Price
£45.99 inc VAT
Study method
Online
Course format
Video
Duration
23 hours · Self-paced
Access to content
1 year
Qualification
No formal qualification
CPD
23 CPD hours / points
CPD What's this?
Additional info
  • Tutor is available to students

Overview

The course offers 23 CPD credits. Two downloadable books on Data Science and Data Analysis, seven cheat sheets to use Python, NumPy, Pandas and more.

Our primary objective is to equip you with a deep understanding of Python programming for Data Science and Machine Learning and not only with a deep understanding of Python programming for Data Science and Machine Learning but also to guide you on the path to becoming a professional Data Scientist using Python. By the end of this course, you'll have the expertise to land your first job in this thrilling field.

We will explore some of the best and most crucial Python libraries for data science, including NumPy, Pandas, and Matplotlib.

NumPy

simplifies mathematical and statistical operations and serves as the foundation for many features in the Pandas library.

Pandas

is your go-to Python library for working effortlessly with data - a vital tool in any Python data science project? And with Matplotlib, you'll master the art of data visualisation, creating graphs akin to those found in Excel or Google Sheets.

Our approach combines hands-on projects with a solid theoretical foundation. Starting from the basics of Python Programming for Data Science, we'll guide you through to mastery. The Machine Learning segment of the course introduces you to the fundamentals of machine learning using Python. You'll delve into the distinctions between supervised and unsupervised learning, understand how statistical modelling relates to machine learning, and compare the two approaches.

After completing this course, you will be able to:
  • Become a professional Data Scientist, Data Engineer, Data Analyst, or Consultant
  • Create a resume and land your first job as a Data Scientist
  • Write complex Python programs for practical industry scenarios
  • Use NumPy for Numerical Data
  • Understand Supervised vs Unsupervised Machine Learning
  • Understand Machine Learning Concepts and Algorithms
  • Use Python to clean, analyse, and visualise data
  • Use Statistics for Data Science
  • Do data cleaning, processing, wrangling, and manipulation
  • Use Python for Data Science
  • Do Plotting in Python (graphs, charts, plots, histograms, etc.)
  • Use Machine Learning and its various practical applications
  • Understand Regression, Classification, Clustering, and Sci-kit learn
  • Know K-Means Clustering
  • Build Custom Data Solutions
  • Test Probability and Hypothesis

Why Choose this course?

  • Developed and delivered by Qualified industry expert
  • Instant E-certificate of Completion
  • Entirely online
  • Self-paced learning and laptop, tablet, and smartphone-friendly
  • 24/7 Support

You will also receive

  • Free PDF Certificate

CPD

23 CPD hours / points
Accredited by The CPD Group

Description

Course Highlights

The course covers 5 main areas:

1: PYTHON FOR DS+ML COURSE INTRO

This intro section fully introduces the Python for Data Science and Machine Learning course, the data science industry and marketplace, job opportunities and salaries, and the various data science job roles.

  • Intro to Data Science + Machine Learning with Python
  • Data Science Industry and Marketplace
  • Data Science Job Opportunities
  • How To Get a Data Science Job
  • Machine Learning Concepts & Algorithms
2: PYTHON DATA ANALYSIS/VISUALISATION

This section fully introduces Data Analysis and Data Visualisation with Python with hands-on, step-by-step training.

  • Python Crash Course
  • NumPy Data Analysis
  • Pandas Data Analysis
  • Matplotlib
  • Seaborn
  • Plotly
3: MATHEMATICS FOR DATA SCIENCE

This section gives you a full introduction to the mathematics for data science, such as statistics and probability.

  • Descriptive Statistics
  • Measure of Variability
  • Inferential Statistics
  • Probability
  • Hypothesis Testing
4: MACHINE LEARNING

This section gives you a full introduction to Machine Learning, including Supervised & Unsupervised ML, with hands-on, step-by-step training.

  • Intro to Machine Learning
  • Data Preprocessing
  • Linear Regression
  • Logistic Regression
  • K-Nearest Neighbors
  • Decision Trees
  • Ensemble Learning
  • Support Vector Machines
  • K-Means Clustering
  • PCA
5: STARTING A DATA SCIENCE CAREER

This section gives you a full introduction to starting a career as a Data Scientist with hands-on step-by-step training.

  • Creating a Resume
  • Creating a Cover Letter
  • Personal Branding
  • Freelancing + Freelance websites
  • Importance of Having a Website
  • Networking

Certificates:

Course Central proudly offers a Certificate of Completion to all who complete courses successfully. Course Central tracks the learner’s course progress. However, the learner is responsible for validating the completion and understanding of the course. All Certificates of Completion can be validated from the Course Central website using the validation code.

Transcripts:

A Transcript for the course with completed module details can also be ordered. Please note that all course Certificates and Transcripts will be titled as published on the Course Central platform.

Who is this course for?

This course benefits a wide range of individuals looking to excel in Data Science and Machine Learning using Python. Here are some of the critical audiences who will significantly benefit from enrolling in this course:

  1. Aspiring Data Scientists: If you dream of becoming a skilled and sought-after Data Scientist, this course will be your perfect stepping stone. It covers the essential Python programming skills and data analysis techniques crucial for a successful career in Data Science.
  2. Machine Learning Enthusiasts: If you are fascinated by the potential of Machine Learning and want to explore its applications, this course will provide you with a solid foundation. You'll learn about machine-learning algorithms and how to implement them using Python.
  3. Python Developers: For those already familiar with Python but looking to specialise in Data Science and Machine Learning, this course will take your Python skills to the next level. You'll learn to leverage Python's powerful libraries and tools for data manipulation, visualisation, and analysis.
  4. Big Data Engineers: Professionals working with Big Data can enhance their skill set by learning Python for Data Science. This course will equip you with the tools to handle and process data efficiently.
  5. IT Specialists and Database Developers: Understanding Data Science and Machine Learning using Python will give IT specialists and database developers a competitive edge in their respective domains. It opens up opportunities to work on data-driven projects and make data-informed decisions.
  6. Professionals Seeking Career Transition: If you want to switch careers and enter the booming field of Data Science and Machine Learning, this course will provide you with the necessary skills and knowledge to make a successful transition.
  7. Graduates and Students: For recent graduates or students interested in Data Science and Machine Learning, this course is a practical and comprehensive learning experience that complements academic knowledge with real-world applications.
  8. Anyone Curious About Data Science: If you are simply curious about Data Science and want to explore its possibilities, this course offers a beginner-friendly introduction to the field and helps you understand its relevance in various industries.

In summary, whether you are a newcomer to the world of programming or an experienced professional seeking to expand your skill set, this course is tailored to meet your needs.

Requirements

Skill Requirements:

No prior Python skills are required.

System Requirements:

The course is accessible from any smart device, laptop and desktop device. A good Internet connection will help me to follow the course.

Career path

This 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

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

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.

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.

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.

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.
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