Course Information

Start Date 9 May 2019, Thursday
End Date 10 May 2019, Friday
Time 09:00 am - 05:00 pm
Venue 100 Orchard Road, Concorde Hotel Singapore 238840
Fee $880 (excluding GST) Inclusive of coffee breaks, light refreshments, and catered lunch
Contact Roshini | 6720 3333 | roshini@aventisglobal.com
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9
May 2019

Data Visualisation For IT Managers

INTRODUCTION

We all know that data is becoming increasingly important in today’s complex and competitive business environment. It’s also crucial to have the relevant skill set to visualise and understand your data. This includes the ability to tell a compelling story, visualise your data and present your findings in an approachable, attractive, and stimulating way. Learning a software tool like Python to visualise data will also enable better information extraction, a better understanding of your data, and help make more effective business decisions. This 2-day hands-on course aims to fully leverage data that might have little to no meaning at a first glance and present this data in a meaningful form for others to understand. You will learn how to create interesting visuals and customise them to increase their effectiveness. You will also explore and utilise several data visualisation libraries in Python to build amazing visualisations to understand data.

Key Takeaways
  • Learn how to prepare your data for visualisation
  • Learn how to build data visualisations using Python
  • Understand how to effectively communicate business insights
  • Utilise various python libraries to build interactive visualisations
  • Explore good graphic design techniques using data visualisation
  • Understand key design principles to accelerate decision making
Who Should Attend
  • Individuals with an interest or need to understand and design data visualisations
  • Business and IT professionals looking to improve their data visualisation skills
  • Individuals with no knowledge in the field of data visualisation
  • Individuals seeking to gain knowledge and explore opportunities in the areas of data analytics
Data Scientist and Expert: Mr A M Aditya

Aditya is the Co-founder of a Tech firm, Xaltius which focuses on building Artificial Intelligence and Augmented Reality based products. Aditya holds a Double Masters’ in Knowledge Engineering and Data Science from the National University of Singapore, Institute of Systems Science.

He has strong expertise in technologies such as data science, machine learning, deep learning, and computer vision. He has worked across various industries including automotive, banking, and retail. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. He is passionate about data science and has coached and consulted professionals in the area of Data Science and AI.

Testimonials

“Aditya is very good at understanding problems quickly and coming up with solutions. He has good knowledge of Matlab, understands the automotive software domain and has a good attitude towards learning. His productivity and can-do attitude has been a big highlight for our account. His experience in organizing and performing in corporate social responsibility programs and cultural events is an added bonus, and he is very passionate about them! It has been a privilege seeing Aditya come up from trainee to leading a small team that has delivered against a tough technical challenge.”
Anup Gadkari, Electronics Engineer at TCS

“Aditya is excellent at analyzing problems and coming up with solutions very quickly. He has a good knowledge of MATLAB and has grown to leading a small team in a very short duration of time. He has the will to learn and has a good grasping ability. His experience and insights across various projects has helped the account a lot on many occasions. Apart from this, his experience in organizing and performing in various extra curricular activities and CSR initiatives is a great added bonus! It’s been great working with him!”
Anoop Pottammal, Feature Software Engineer

Course Outline
  • Learn data cleaning and manipulation libraries in Python
    • Introduction to the pandas library
    • Reading and cleaning data from online, databases, and text file sources
    • Data manipulation and database related concepts
    • Statistical analysis using aggregation functions in pandas
  • Understand the data visualisation definition, concepts, and terminologies
  • Understand the various data visualisation libraries in python
    • Matplotlib
    • Seaborn
    • Folium
  • Learn how to plot various charts such as line charts, pie charts, histograms, bar charts with alignment to a real business case
  • Learn how to plot various advanced visualisations such as word clouts and regression charts
  • Learn how to create maps and visualizing geospatial data using folium
  • Reporting with Jupyter Notebooks

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