Professional Passport in Data Science

This course equips you with the knowledge and skills to become a Data Scientist or a Decision Science Analyst

Course Duration: 6 days (full-time) 

Daytime Classes | Evening Classes | Virtual & Online Classes   

You will learn to…

Explore and exploit business data to understand and improve business performance

Carry out effective analysis and reports to improve customer data visibility to the business through compelling insights and innovative reporting techniques

Apply R or Python to develop and optimise statistical models to predict risks, customer behaviours and profitability

Utilise Big Data to identify opportunities for growth and generate meaningful insights to drive strategic decision making

About this course

A Data Scientist build Machine Learning (ML) and Artificial Intelligence (AI) Algorithms from Data. They apply a combination of programming tools and statistical techniques to Big Data. Data Scientists are familiar with Big Data platforms in order to be able to combine these with Machine Learning tools such as Python and R to build predictive models on stream data, i.e. Data in Motion.

Professionals at this level will develop data mining skills with the main aim of supporting businesses to take control of their marketplace by using advanced statistical intelligence to understand their market drivers, why customers act the way they do. They will be able to build the profile of what, who and why of customers actions. As a Data Scientist, you will build predictive models and lead their implementations for strategy. You will be a valuable asset in the analytics community, and in the business you work for, for the deep insight you bring to decision making.

4 Benefits of booking this course with us

Book Now

Course Dates and Location

  • This course takes place every month.
  • Main locations: London and Manchester.
  • Virtual and Online Classes available
  • Please contact us for more details of dates/location.

Testimonials

“For me, the best thing was the way that Pairview explained all the Practical process in the real Business scenario.”

Anonymous, Course Feedback Form

Related Courses

Share this Training Course

Book Now

Course Content

Machine Learning Applications with Anaconda: R
  1. Introduction and preliminaries
  2. Simple manipulations; numbers and vectors
  3. Objects, their modes and attributes
  4. Ordered and unordered factors
  5. Arrays and matrices
  6. Lists and data frames
  7. Reading data from files
  8. Grouping, loops and conditional execution
  9. Writing your own functions
  10. Statistical models in R
  11. Graphical procedures
  12. Packages
  13. Introduction to Applied Machine Learning
  14. Regression
  15. Classifications
  16. Cross-validation and Resampling
  17. Unsupervised Learning

Days: Monday to Friday

Time: Daytime CLasses: 9:30am – 5:30am

Evening, Virtual & Online Classes: 6:30pm – 9:30pm

Location: London Office | AnyWhere – ONLINE Virtual Classes

Course Duration: 4 days

ENROL NOW

Machine Learning Applications with Python (Optional)
  1. Applied Machine Learning
  2. Introduction to Python
  3. Python Basics
  4. Sequences and File Operations
  5. Create functions, sorting different elements and error handling techniques
  6. Modules
  7. Pythonic Idioms
  8. Services Modules and Packages
  9. Classes
  10. Developer Tools
  11. XML and JSON
  12. iPython
  13. Popular Python Plugins
  14. Python Imaging Library
  15. Deploying and using Models

Days: Monday to Friday

Time: Daytime CLasses: 9:30am – 5:30am

Evening, Virtual & Online Classes: 6:30pm – 9:30pm

Location: London Office | AnyWhere – ONLINE Virtual Classes

Course Duration: 4 days

ENROL NOW

Analytics and Data visualisations with Tableau
  1. Fundamentals of Visualization with Tableau
  2. Exploring and navigating Tableau
  3. Making Data Connections
  4. Context of Data visualization and Course Wrap-up
  5. Essential Design Principles for Tableau
  6. Visual Perception and Cognitive Load
  7. Design Best practices and Exploratory Analysis
  8. Design for Understanding
  9. Visual Analytics with Tableau
  10. Dates
  11. Table calculations
  12. Mapping
  13. Creating Dashboards and Storytelling with Tableau
  14. Data Visualization with Tableau Project

Days: Monday to Friday

Time: Daytime CLasses: 9:30am – 5:30am

Evening, Virtual & Online Classes: 6:30pm – 9:30pm

Location: London Office | AnyWhere – ONLINE Virtual Classes

Course Duration: 2 days

ENROL NOW

How To Attend?

On-Site: Let Pairview come to you. Our Team will design a tailored Training Programme in order to meet your goals and your needs. The training programme will be delivered in your facilities according to your business schedules and availability.

Off-Site: With a strong presence in all the main sites across of UK, Pairview dedicates all the efforts to deliver a full superior learning experience.

ENROL NOW

Virtual and Online – via AnyWhere

Attend all the Live Training Sessions Online – via AnyWhere.

Our Pairview’s Platform will allow you to attend any Live Training Session with the same high-quality of a F2F in-site session. You will be allowed to attend the session and interact with our trainers and colleagues in the same way as F2F in-site session.

Avoid long journeys to attend your training sessions in some particular site, save your time and your money with this singular option.

ENROL NOW

ONLINE: Get instant access to the V-BOX Platform and start your learning now. Any Course Wherever you want, Whenever you want!

Please contact us to get the best quote for your needs.

ENROL NOW

This training is suitable to individuals who have a graduate degree in a technical or numerical discipline (e.g. Science, Technology, Engineering, Mathematics, Economics, Finance, etc.), or have some experience in fields related to data, analytics, business intelligence or IT.

Days: Monday to Friday

Time: Daytime CLasses: 9:30am – 5:30am

Evening, Virtual & Online Classes: 6:30pm – 9:30pm

Location: London Office | AnyWhere – ONLINE Virtual Classes

Course Duration: 6 days

ENROL NOW

£2,970.00 per person, ex VAT.

ENROL NOW