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Machine Learning A-Z: Hands-On Python in R & Data Science 2020 Bundle

Master Machine Learning, AI & Data Science| Completion Certificate | Student discount card eligible | Accredited course


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Summary

Price
£36.95 inc VAT
Study method
Online
Duration
42 hours · Self-paced
Access to content
12 months
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students
  • TOTUM card available but not included in price What's this?

6 students purchased this course

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Overview

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by industry professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

Course media

Description

This bundle includes 8 courses that will immerse you in the fields of Machine Learning & Analytics by teaching you the skills used to master both theory & practice. Learn how to install Python, and then use it to perform sentiment analysis, build a recommendation system, and so much more. With over 40 hours of expert instruction, by the time you’ve completed this bundle of courses, you’ll have a firm grasp of core machine learning concepts and be on your way to applying this essential technology in your career.

What you'll learn

  • Master Machine Learning on Python in R
  • Have a great intuition of many Machine Learning models
  • Make accurate predictions
  • Make powerful analysis
  • Make robust Machine Learning models
  • Create strong added value to your business
  • Use Machine Learning for personal purpose
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem

Courses included in this bundle:

  • Deep Learning & Computer Vision: An Introduction - 2 hrs
  • Recommendation Systems in Python - 4.5hrs
  • Machine Learning: Decision Trees & Random Forests - 4.5 hrs
  • Twitter Sentiment Analysis in Python - 3.5 hrs
  • Python Programming: From Beginner to Intermediate - 10.5 hrs
  • Quant Trading Using Machine Learning - 11 hrs
  • Factor Analysis - 1.5 hrs
  • Linear & Logistic Regression - 5 hrs

Highlights:

  • Discover Core Machine Learning Concepts & Build An Artificial Neural Network
  • Build a movie recommendation system in Python
  • Learn Intuitive Machine Learning Techniques by Exploring a Classic Problem
  • Use Python and the Twitter API to build your own sentiment analyzer
  • Go from beginner to intermediate level Python user
  • Apply Machine Learning techniques to Quant Trading
  • Use Principal Components Analysis to Extract Factors
  • Build Regression Models with Principal Components in Excel, R, Python
  • Understand the risks involved in regression and avoid common pitfalls
  • Use simple & multiple regression to explain variance & predict an outcome
  • Project Files & Supplemental Material included with each course

What jobs will I be qualified for?

Upon completing the collection you will be able to pursue a career in:

  • Network security
  • Network engineer
  • IT Consultant

The average earnings for a Data Scientist Certified individual is £65,000 per annum (source: ITjobswatch, UK Only).

How do I study?

You study online around your own schedule with our easy to use interactive student interface which is designed to make the learning experience as enjoyable as possible. Our content is delivered via a mixture of easy to follow video's, question and answer sections and interactive test prep. When in your account you will work from your own personalised learning platform, that will log and track your course progress.

Why choose us?

  • Study job specific industry recognised courses
  • Student support
  • Job finder service
  • Progress reports
  • Exam booking support
  • Over 90% first time pass rate
  • All UK students receive a TOTUM (NUS) student discount card
  • 14 day no quibble money back guarantee

Career Support

Every student has access to our soft skills training pack that includes career support courses such as Interviewing Techniques and C.V building. These courses will give you the skills you need to head into the job market and boost your employability.

On completion of your training course, you will have the skills and confidence to jump straight into a role that suits you.

Our careers advisors have their ears to the ground and are on hand to offer you industry and job specific advice on any career path you decide to follow and ask about our job search service we offer to our students.

Who is this course for?

  • Anyone interested in Machine Learning.
  • Students who have at least high school knowledge in math and who want to start learning Machine Learning.
  • Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Any data analysts who want to level up in Machine Learning.
  • Any people who are not satisfied with their job and who want to become a Data Scientist.
  • Any people who want to create added value to their business by using powerful Machine Learning tools.

Requirements

Basic mathematics secondary level (Key stage 2 & Key stage 3) the course is great for those who have a limited to no understanding and would like to develop their skills in the highly demand

Career path

Once you have completed your Machine Learning course you will have a globally acknowledged set of skills that are highly in demand, and be able to unlock job opportunities all over the world Potential roles include;

Data Scientist
Developer
Data Engineer
Senior Data Scientist
Analyst
Architect
Python Engineer
Software Engineer

Questions and answers

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Certificates

Certificate of completion

Digital certificate - Included

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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.