Why attend now?

Data Science is one of the most demanding skills in the 21st century, with promising high-paying jobs in Big Tech with the likes of Google, Microsoft, Facebook, LinkedIn, Amazon and more.

According to the U.S. Bureau of Labor Statistics, the number of jobs in Data Science will increase by 28% within 2026, adding more than 11.5 million new jobs with an average salary of $124k+

This Masterclass has been designed through months of research and analysis to prepare learners as pioneers in the Data Science industry and revolutionize the field by applying the data science skill today’s world demands.

On completion, you’ll achieve the prestigious, globally-recognized Certified Masters Diploma Badge and the professional qualification of Certified Data Science & Visualization (CDSV) to put on your business card and career biography.

Data Science/Visualization: applied case studies, tools. Learn From The Best!

Book your ticket now!

Receive a bunch of EXTRA bonuses to rocket-charge your success!

What you'll Gain

The data have started getting recognition as the fuel of industry 4.0 and a data-centric economy, boosting the emergence and rapid development of Data Science as one of the top IT skills of the 21st century.

This programme gives you everything you need to master this discipline and thrive as a potential Data Science and Visualization specialist equipped with all the skills and knowledge today’s world demands.


One-Day Masterclass Summit


26 Oct, 2022 or

26 April 2023


Or On-Demand


Certified Data Science & Visualization (CDSV)

Masterclass Schedule

Live Agenda

Tailor-Made For You!

This Masterclass will be presented by up to two members of our Expert Masters Faculty Panel.

See their expert credentials below

This format ensures that we focus on meeting your unique needs. So you get the most relevant practitioners to help you get certified as a leading professional in this high-growth sector.

09.00 – 11am

Session 1

The Origin, Trends, and Future of Data Science – Hoax VS. Reality with Solid Foundation

Morning Networking Break at 10:30am

11:00 – 12:00pm

Session 2

Data Science and Visualization – Applied Statistics


Networking Lunch for Delegates & Guests

1.30 – 2.30pm

Session 3

Grouping and Analysis as Professional Data Scientists


Networking Break

3:00 – 4:00pm

Session 4

Linear Regressions and Applications


Networking Break

4:30 – 6:00pm

Session 5

Logistic Regressions and Applications

4:30 – 6:00pm

Session 6

Practical Data Science – Working on Projects

Who Should Attend?

Data Science & Visualization Experts

Expert Data Science Panel:

Kirill Eremenko

Founder and CEO at SuperDataScience
"Data Science Instructor"

Kirill Eremenko is a globally renowned Data Science instructor. He has guided more than 1,300,000 (1.3 million) students worldwide in Data Science and Artificial Intelligence. He has experience working as an analyst in Deloitte Decision Science & Analytics, data scientist in Sunsuper, show host in SuperDataScience Careers Podcast, and data science instructor in Udemy. He is also the founder of DataScienceGO and SuperDataScience. Currently, he is holding the position of CEO of SuperDataScience. It is an online educational portal for Data Scientists with the mission to 'Make The Complex Simple.'

Bernard Marr

Best-selling author
Popular keynote speaker, futurist, and a strategic business & technology advisor

Bernard Marr is one of the world's most respected business performance, digital transformation, and intelligent use of data experts. According to LinkedIn, Bernard is one of the world's top 5 business influencers. He has worked with and advised many of the world's best-known organizations, including Accenture, Astra Zeneca, Bank of England, Barclays, BP, Cisco, CRH, DHL, Fujitsu, Gartner, HSBC, IBM, Jaguar Land Rover, Mars, Ministry of Defence, Microsoft, NATO, The Home Office, NHS, Oracle, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP, Shell, the United Nations, Vodafone, Walgreens Alliance Boots, Walmart, among many others. He is the author of 15 books and hundreds of high profile reports and articles, including the international best-sellers 'Data Strategy,' 'Big Data in Practice,' 'Big Data,' 'Key Business Analytics,' 'Key Performance Indicators,' 'The Intelligent Company,' 'Managing and Delivering Performance' and 'Strategic Performance Management. His books have been translated into over 20 languages. They have earned numerous Amazon No one bestselling positions, the CMI Management Book of the Year award, the Axiom book award, and the WHSmith best business book award.

Gregory Piatetsky-Shapiro

Part-time philosopher, Data Scientist, KDD, and KDnuggets Founder, was LinkedIn Top Voice on Data Science & Analytics

Gregory Piatetsky-Shapiro is a globally recognized expert in Business Analytics, Data Mining, and Data Science. He has more than 60 publications on data mining and college discovery. He also edited numerous books written on similar topics. According to LinkedIn Top Voices in 2018, the was no. 1 on Data Science and Analytics. He is the founder of  KDnuggets and was president from 2001 to 2021. He is also the co-founder of KDD (Knowledge Discovery and Data Mining Conferences).

Anand S

CEO at Gramener: Insights as Data Stories
Bengaluru, Karnataka, India

Anand is the Chief Data Scientist at Gramener.com. The flagship product of the Gramener is the Gramener Visualization Server. Under the lead of Anand, his team discovers valuable insights from data and communication and represents them as visual stories. He also led and advised teams to design IT systems for globally recognized companies like Citigroup, Honda, IBM, Target, etc. He has worked at IBM, Lehman Brothers, The Boston Consulting Group, and Infosys Consulting.

Yann André LeCun

VP & Chief AI Scientist at Meta
New York, New York, United States

Yann André LeCun is the VP & Chief AI scientist at Meta. He is also the Silver Professor of the Courant Institute of Mathematical Sciences. He is popular as one of the three "Godfathers of AI" and "Godfathers of Deep Learning." He is the founding father of convolutional nets. He is also the Turing award (2019) and prestigious Golden Plate Award (2019) of the American Academy of Achievement winner.

Nando De Freitas

Scientist and innovator
Scientist lead for the machine learning team, Google DeepMind Greater Oxford Area

Nando De Freitas is a computer scientist and leads for machine learning team in Google DeepMind. His role as principal scientist at Google DeepMind is to make technologies available to the public to maximize benefits while ensuring safety and ethics. He is also a professor of computer science at Oxford University. His study focuses on neural networks, Bayesian optimization and inference, and deep learning.

John Elder

CEO Codemy.com, Inc
Las Vegas, Nevada, United States

His data mining consultancy Elder Research has drawn global attention. John Elder is the CEO of Codemy.com and founder and globally recognized for developing the earliest web advertisement network bannerclicks.com. He also built the vitalBio.com, a b2b web portal. The award-winning Submission-Spider search engine is also his creation. 

Dr. John Elder authored three popular books - the Handbook of Statistical Analysis and Data Mining Applications, Ensemble Methods in Data Mining, and Practical Text Mining. He also works as an adjunct professor at the University of Virginia, where he teaches data mining optimization.

Usha Rengaraju

Principal Data Scientist at Polymath
Founder at NeuroAI
Bengaluru, Karnataka, India

Usha Rengaraju is the Principal Data Scientist at Polymath. She is also the founder of NeuroAI. Her expertise as a Data Scientist in Quantitative Finance has brought her fame as one of the top ten Data Scientists in India for 2020. Her expertise encompasses Probabilistic Graphical Models, Machine Learning and Deep Learning, and Quantitative Finance. She is also the curriculum designer of BITS Pilani's master's in Data Science program (consumed by 20,000+ students) and Upgrad's PGP program in DS (consumed by 10,000+ students).

Key Takeaways and Learning Outcomes

How to trace the origin, inspect the present, and predict the future of data science and its application.

How This Masterclass Prepares You For Success

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