Data Analytics Course
By now we should all know that the most successful companies are data-driven. Social media data, customer data, buying patterns, surveys, customer feedback, financial data - not only does data take the blindfold out of the game, but it changes it by adding tremendous value. Data is all around us but where do you start? How do you makes sense of it and, more importantly, how do you use it to your best advantage in a systematic way?
Come along to our two day workshop and learn how to upgrade the quality of your decision making by listening to what your data has to say. Learn how to create powerful infographics and simplify the abundance of information available to you.
Whether you are a start-up, SME or corporation, you run a website, undertake Social Media marketing or ecommerce then data needs to inform your strategy - are you taking advantage?
This workshop explores the role and importance of Big Data to your organisation and highlights the many ways data can help you articulate and achieve your objectives. You will gain an understanding of data sets, tools, technology and approaches to collecting, curating, and visualizing data with a focus on presenting data both internally and externally via social media channels in a compelling and impactful way.
You will be encouraged to learn from best practice across industries through an array of case studies from leading brands and their approaches to using data for powerful storytelling.
You don’t need to be a Data Scientist to learn how to harness the power of data. The workshop is delivered by experienced University of Salford academics in partnership with industry professionals to achieve the right balance between theory and practice. Collaboration and engagement are key and you will undertake group work and hands-on practice.
Day 1 Introduction to big data
9.30 Start & Introductions
9.45 The art of collaboration
10.00 What is data collection?
- Trends in a data driven world and why it is important?
- Technology innovation: the role of Artificial Intelligence and Machine Learning
- Role of data in the workplace
- Role of social media analytics
11.00 Break & Networking
11.20 Data Considerations
- The Data Lifecycle
- The four V’s of Big Data
- Factors influencing change
12.30 Lunch & Networking
1.30 Data Storytelling
- How organisations currently use data in marketing & communications, especially social media channels such as Twitter, Instagram, Facebook, LinkedIn, Pinterest
2.00 Tools and platforms to capture data
3.20pm Group work
4.15 Reflections, Summary and Wrap up
Day 2 Translating and visualizing data
09.30 Overview of Data Visualisation
11.20 Activity on translating data, best practice and learning how to arrange and frame data to visualise effectively
12.30 Lunch & Networking
1.30 Activity on visualising data - Group work to produce visualisations with examples of more experimental approaches to data visualisation
3.20 Building confidence to communicate information in an engaging and impactful way
- Tools and resources to do things differently: Tableau, Plotly, Visualise Free, Timeline, Exhibit, Wolfram, Visual.ly, Google
5.4.15 Reflections, Summary and Wrap up
4.30 Close & Certificates
*The agenda may change depending on the requirements and prior knowledge of the attending delegates.
- Learn how to anticipate the needs of your customers and grow your business by making sense of the right data
- Reflect on best practice to data collection and how they can be applied to your business
- Take away key tools and platforms to collect and curate data
- Learn how to tell compelling stories with data that will have impact
- Step up your decision making and back it up with hard evidence derived from your data
- Integrate your physical and digital spheres with the help of data
Who should attend
This course appeals to a wide array of professionals that want to understand the role of big data in achieving their business objectives. From operations, marketing, IT, to finance or logistics, if your role includes decision making then big data should be on your agenda.