Data Scientist with ‘R’ Career Programme

The Pairview difference

Pairview is a specialist provider of career services and technical and management training. We concentrate on targeting the industry sectors where there are known skills-shortages, immediately putting you in demand. Our career path programmes produce highly talented individuals equipped to tackle the employment market.  We ensure that you get access to the very best career opportunities that your newly acquired and in-demand skills command.

Data Sciences with R – greatly rewarding career opportunities

56,000 Big Data jobs are expected in the UK by 2020, with demand for Data Scientists rising to 259%. However, employers are finding 75% of Data Scientist roles very hard-to-fill because of the shortage of people with the required skill-sets and experience. Data Scientists already command an average salary of £57,500 per annum and are able to boost their earning to £350 per day. (Source: Tech Partnership employers’ network, SAS, ITJobsWatch)

Pairview’s unique pathway to break into this great career

This programme is a senior level Data Scientist programme, specialising in the advanced uses of R such as statistical analysis, advanced multivariate regression modelling, cluster analysis and segmentation and other modelling & analytics methods. R is an open-source free programming language and environment for statistical computing, data analysis and graphics. Well designed for effective data handling and storage facility, R is commonly used by data scientists, statisticians and analysts who need to make sense of data. Data mining is widely used in retail, financial services, health, manufacturing and telecommunication etc. This field involves basic statistical knowledge, machine learning, information retrieval and pattern recognition. In this programme, you will learn how to manipulate date, build statistical models and virtualise data in R environment. They will also use the R software environment to perform data mining tasks. This programme will prepare delegates for challenges brought about by Big Data Analytics. Your career after this programme might shape towards a Customer Insight Analyst (£55,000 per annum), Senior CRM Analyst (£45,000 per annum), or Decision Sciences Senior Analyst (£50,000 per annum) and many more career paths including these skills, within the same range of salary. (Source: Indeed, ITJobsWatch)

On top of being equipped with the technical and knowledge-based skills in this programme, you will gain hands-on experience through our Work Experience Project, which will allow you to work on sample business scenarios and problems in sample businesses. You will receive the Work Experience Project at the end of the programme. The senior career programme’s Work Experience Project is longer than a typical project, lasting up to 3 months with 4 live sessions.

Your roadmap to career success in Data Sciences with R

1.       Microsoft Excel 2013 Core and Advanced Essentials | 3 days

You will learn how to:

• Create a basic worksheet by entering text, values, and formulas.
• Use the three-dimensional aspect of the Excel workbook environment
• Analyse data using a number of tools such as a subtotal report and a pivot table
• Confidently create an array of datasheets and worksheets to fit a range of purposes and outcomes

2.       Querying Microsoft SQL Server 2012 and T-SQL Programming | 3 days

You will learn how to:

• Describe the basic architecture and concepts of Microsoft SQL Server 2012.
• Understand the similarities and differences between Transact-SQL and other computer languages.
• Describe the use of data types in SQL Server
• Modify data using Transact-SQL

3.       Programming with R | 2 days

You will learn how to:

• Analyse data using R programming
• Manipulate data on R
• Use various R functions
• Write your own function
• Work with Packages 

4.       Statistical Analysis with R | 1 day

You will be able to:

• Apply analytical techniques to business challenges
• Use R in database analytics
• Deploy data analytics lifecycle to address big data problems using R software
• Understand data scientist role and skills in R environment

5.       Advanced Multivariate Regression Modelling with R | 1 day

You will be able to:

• Match a task with the appropriate algorithm
• Understand data structures and procedures for managing and understanding data
• Use predictive models to make numeric predictions
• Identify segments of profiles
• Find patterns in data for customer insight
• Find the best model for binary or numeric outcomes
• Improve Model performance

6.       Customer Insight Analysis | 2 days

You will be able to:

• Gain full understanding of what Customer Insight Analytics is all about and how this can be used to develop customer-focused strategy
• Evaluate and select appropriate research approach, whether internal data analysis or competitor intelligence is necessary to develop a solution for a given research contexts
• Support the development of marketing and consumer communication and research and insight process
• Develop market structure analysis to solve business problems where no pre-defined parameters exist. – Consultative business analytics
• Develop customer segmentation, including profiling and the development of strategic framework using segmentation approach
• Develop customer profile and interpret the meaning of such insight, i.e. create pen-portrait of customers.

7.       Hands-on Work Experience Project | 30 days

8.       CV Surgery | 1 day

9.       Project Support | 4 days

10.   Project Presentation | 1 day

11.   Interview Preparation | 3 sessions

You will need a graduate degree in one of the following majors: Mathematics, Physics, Engineering, Statistics, Computer Science, or from another similar technical/numeric discipline. A post-graduate degree in a technical discipline will be an advantage to help you drive a successful career in Big Data Analytics.

Basic working knowledge of Microsoft Office and Windows operating systems.

Data Scientist > Senior Data Scientist > Business Analytics Consultant