e-Careers

Introduction to Data Science, Machine Learning & AI, Training Course - LiveOnline

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What is the Introduction to Data Science, Machine Learning & AI Training course?

Are you interested in becoming a Data Scientist? If so, this is the course to get you started, as it has been designed for beginners, and is taught in a way that is suitable for both technical and non-technical delegates.

This course covers all the required concepts to move through the data science pipeline, by utilising Open Source tools and proprietary services. You’’ learn how to choose which is best for your current situation and requirement.

If you’re searching for a course that can provide you with a deeper knowledge of the collaboration and communication tools needed to make virtual working available in your office, this course is the one to choose.

Available delivery methods for this course
Group booking

Group booking

Live Online

LiveOnline

Key features of the course

  • Delivery Method: Classroom
  • Exam: Included
  • Tutor Support Included
  • Accredited & Experienced Trainers
  • Duration: 5 Days

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Location Date Duration Price Availability
Live OnlineNov 18th 2019  5 Days£2,395 ex. VATAvailable
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Live OnlineDec 9th 2019  5 Days£2,395 ex. VATAvailable
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Live OnlineDec 16th 2019  5 Days£2,395 ex. VATAvailable
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Live OnlineJan 6th 2020  5 Days£2,395 ex. VATAvailable
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Live OnlineFeb 3rd 2020  5 Days£2,395 ex. VATAvailable
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Live OnlineMar 9th 2020  5 Days£2,395 ex. VATAvailable
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Live OnlineMar 30th 2020  5 Days£2,395 ex. VATAvailable
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Live OnlineApr 20th 2020  5 Days£2,395 ex. VATAvailable
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Live OnlineJun 15th 2020  5 Days£2,395 ex. VATAvailable
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Live OnlineJun 22nd 2020  5 Days£2,395 ex. VATAvailable
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Is the Introduction to Data Science, Machine Learning & AI Training course right for me?

This course is suitable for everyone and there are no prerequisites. It also suits those who are from both technical and no-technical backgrounds.

If you’re looking to move into Machine Learning and AI, this is the course to get started with.

Why Choose e-Careers?

e-Careers has partnered with The Learning Tree, to offer a range of courses, delivered via high-tech classrooms or virtual learning, depending on your requirement.

We are an award-winning, established eLearning course provider, with over 16 years’ experience in the industry.  We offer high-quality training courses at competitive prices.

What will I learn on this course?

This course has been designed to be an introduction to data science, machine learning, and AI.

You’ll learn how to take business questions and translate them into Machine Learning problems, to better understand what your data is really telling you. You’ll explore and analyse data from a range of platforms for patterns and trends relevant to your business, including from: the internet, Twitter, Relational Databases, emails and more. Learn how to build Decision Trees, Logistic Regression and Naïve Bayes classifiers, in order to make predictions about customers’ future behaviour and business critical events. Investigate flows and relationships between individuals, computers and other connected means, using Social Network Analysis. 

Classroom-based Training 

 e-Careers were originally an online learning organisation but over time we’ve established additional learning methods, to provide our delegates with a variety of study options, including:

  • Bespoke training
  • Classroom-based training
  • On-site training
  • LiveOnline (virtual learning)

The Classrooms

Our classroom training centre is in London, Euston, conveniently located directly opposite Euston station, making transport and accessibility easier.

Our clean, high-tech classrooms provide a comfortable learning environment for our delegates, and we pride ourselves on providing a first-class training experience. You’ll notice this from your first steps in our London training centre, right through to your last day on the course, helping you to feel welcomed and comfortable. 

Each classroom has been designed to perfectly suit the courses being offered. For example, our Cyber Security classrooms come kitted out with a range of high specification PC’s (typically i7’s), with monitors for you to work through the practical assignments and an additional vertical screen to view your digital course materials.

Your instructor will use cutting-edge technology to ensure a high-quality learning experience for all delegates, including the latest annotation hardware and software.  

Alternatives to Classroom-based study

We understand that not every delegate has the same date availability or can’t make it to London, so we have created a range of suitable alternatives, including:  

  • LiveOnline – This is our virtual classroom option. Be a fully participating and integrated member of the classroom but from the comfort of your own home or office. We supply you with a headset (to enable you to speak with the class and course instructor), course materials and everything you need to fully participate with the class. 
  • eLearning – This is our Online/ Distance learning option. If a classroom or LiveOnline option are unsuitable for your requirements, we do offer a full online course option, where you can study at your own pace and in your own time.

Module 1 - Introduction top R

  • Exploratory Data Analysis with R
    • Loading, querying and manipulating data in R
    • Cleaning raw data for modelling
    • Reducing dimensions with Principal Component Analysis
    • Extending R with user–defined packages
  • Facilitating good analytical thinking with data visualisation
    • Investigating characteristics of a data set through visualisation
    • Charting data distributions with boxplots, histograms and density plots
    • Identifying outliers in data

Module 2 – Working with unstructured data

  • Mining unstructured data for business applications
    • Pre-processing unstructured data in preparation for deeper analysis
    • Describing a corpus of documents with a term–document matrix
    • Make predictions from textual data

Module 3 – Predicting outcomes with regression techniques

  • Estimating future values with linear regression
    • Modelling the numeric relationship between an output variable and several input variables
    • Correctly interpreting coefficients of continuous data
    • Assess your regression models for ‘goodness of fit’

Module 4 – Categorising data with classification techniques

  • Automating the labelling of new data items
    • Predicting target values using Decision Trees
    • Constructing training and test data sets for predictive model building
    • Dealing with issuets of overfitting
  • Assessing model performance
    • Evaluating classifiers with confusion matrices
    • Calculating a model’s error rate

Module 5 – Detecting patterns in complex data with clustering and social networks analysis

  • Identifying previously unknown groupings within a data set
    • Segmenting the customer market with the K–Means algorithm
    • Defining similarity with appropriate distance measures
    • Constructing tree–like clusters with hierarchical clustering
    • Clustering text documents and tweets to aid understanding
  • Discovering connections with Link Analysis
    • Capturing important connections with Social Network Analysis
    • Exploring how social networks results are used in marketing

Module 6 – Leveraging transaction data to yield recommendations and association rules

  • Building and evaluating association rules
    • Capturing true customer preferences in transaction data to enhance customer experience
    • Calculating support, confidence and lift to distinguish "good" rules from "bad" rules
    • Differentiating actionable, trivial and inexplicable rules
  • Constructing recommendation engines
    • Cross–selling, up–selling and substitution as motivations
    • Leveraging recommendations based on collaborative filtering

Module 7 – Learning from data examples with neutral networks

  • Building and evaluating association rules
    • Capturing true customer preferences in transaction data to enhance customer experience
    • Calculating support, confidence and lift to distinguish "good" rules from "bad" rules
    • Differentiating actionable, trivial and inexplicable rules
  • Constructing recommendation engines
    • Cross–selling, up–selling and substitution as motivations
    • Leveraging recommendations based on collaborative filtering

LiveOnline Learning

Currently, 25% of all classes are delivered through LiveOnline, so if you can’t make it to our London, Euston location for any reason, this option is the ideal solution for you. You’ll also be happy to note that the pass marks are the same for both classroom and LiveOnline delegates.

To ensure your experience is interactive and of high-quality, we provide each LiveOnline delegate with a headphone and microphone headset (worth £35) ahead of your start date, so that you can interact with your classroom, live and in real-time. As well as your headset, any manuals or course reading materials will be sent out to you around 3-5 weeks before your course commences. You’ll also gain access to the trainer for one hour (available after course, via phone or skype).

Each of our classers are equipped with high technology to be able to successfully deliver courses through LiveOnline, including:

  • Wide screen cameras – Delivering clear visibility of both the class and the trainer
  • Projector and whiteboard – Materials are projected onto a full white wall
  • Latest annotation hardware and software – Providing greater visibility for your LiveOnline screen
  • Electronic Mat – Each trainer has access to an electronic mat, which when stood on and off switches camera angles between their face and the whiteboard, helping to provide a better visible learning experience
  • Microphones - All trainers have a microphone so the whole class (and especially the LiveOnline learners) can better hear the trainers loud and clear. While delegates learning through LiveOnline are equipped with a microphone headset, classroom attendees will have access to a microphone (one per desk of two delegates) and speaker system. When questions arise, everyone can both speak and hear clearly

Softskills courses which require breakout sessions in small groups, also involve the LiveOnline delegate, through a shared screen and camera, with full visibility and microphone access. This ensures each delegate (both in the classroom and external locations via LiveOnline) has the opportunity to be involved in the interactive lessons.

If LiveOnline delegates experience any technical difficulties or questions, there is a fully managed control centre, who will assist each delegate. Response times sit at 45 seconds and each session is constantly monitored by a technical team.

Prices include all training, manuals, pre-course reading material, exams and 1 hour one-one access to the trainer).

We’re trusted by

Individuals, small businesses and large corporations who have used e-Careers since 2001. Here are some names you’ll recognise:

Maersk
Cambridge
Saatchi & Saatchi
NHS
American Express
DMI

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