data science for business managers by tektosdata

INNOVATE THROUGH DATA - LEARN THE CONCEPTS - LEAD THE TRANSFORMATION.

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A fast paced and hands-on course open to all businessmanagers who want a leading role in the data revolution. Sixhours of course instruction is divided into three modulescombining theory, case studies and practical exercises. Youwill understand the current trends in data science, learn thefundamental concepts related to the data science process,and learn how to implement and manage data-drivenprojects in your company.

DATA SCIENCE FOR BUSINESS MANAGERS

INNOVATE THROUGH DATA LEARN THE CONCEPTS LEAD THE TRANSFORMATION

INNOVATE THROUGH DATA

CURRENT TRENDS AND APPLICATIONS

LEARN THE CONCEPTS

FUNDAMENTALS OF DATA SCIENCE

LEAD THE TRANSFORMATION

CREATE VALUE FROM DATA

Understand the current trends in datascience to anticipate the impact of the datarevolution on your company and formulaterobust strategies.

Understand fundamental data scienceconcepts that will help you make sounddecisions and approach business problemsfrom a data-driven perspective.

Learn how to implement and manage data-driven projects and obtain the knowledge totake a leading role in transformative projectsthat find value in your data..

BECOME A DATADRIVEN BUSINESS LEADER

You will learn the necessary concepts to become a data-driven business manager and transform your organization.

By the end of this course you will have the training to understand the processes related to data science, manage data-drivenprojects, and to bridge the gap between technical possibilities and business reality.

GETIN TOUCH

PALAIS BRONGNIART28 Place de la Bourse,Paris, [email protected]

*Please visit our website at www.tektosdata.com formore details or feel free to contact us. All necessary

forms can be found at www.tektosdata.com*

MODULE 1 1 HOUR

6 h o u r s , 3 m o d u l e s , c o m b i n i n g t h e o r y , c a s e s t u d i e s a n d p r a c t i c a l e x e r c i s e s .


MASTER THE TOOLS



THE CURRENT DATA SCIENCE LANDSCAPE (1 HOUR)

CURRENT TRENDS AND APPLICATIONS

CURRICULUM

We will begin with an explanation of the current and emerging trendsin data science and start identifying innovation drivers and businessopportunities for your company. We will give you examples and discusssuccess stories to illustrate the possibilities, costs, and results.

Recent technical breakthroughs have enabled unprecedented improvements in data-driven business applications.This module will cover some of the highly significant success stories and applications developed by establishedcompanies, startups and research organizations..

We will introduce the state of machine learning in companies such as Google, Facebook and Amazon. Each ofthese companies apply machine learning to their products and provide machine learning as a product. Machinelearning is not just for large publicly traded companies, therefore we will examine the efforts from startups such asWhetlab, Datarobot, Dataiku and others. We will examine the services available for you to use in your ownproducts, such as Google Prediction API, MonkeyLearn, Sense.io, Azure ML Studio and open source tools such asScikit-Learn, TenserFlow.

Group discussion: New technology enables a myriad of data-driven applications. How do youthink your business will evolve through data?

Learning objective: Understand the state of the art and current trends in the data sciencelandscape. Learn how major players and successful startups are using data to createa competitive advantage. Learn what products and services are available. Have an initialunderstanding of the factors enabling the transition towards data-driven business productsand processes.


MODULE 2 2 HOURS




LEARN THE CONCEPTS

FUNDAMENTAL NOTIONS AND BASIC PROBLEM TYPES (1 HOUR)

FUNDAMENTALS OF THE DATA SCIENCE PROCESS

CURRICULUM

Data science provides a myriad of approaches to solve a variety of problems.Recognizing which business needs can be solved by a specific approach isnot always easy. This module will present a framework to identify howto transform business needs into successful data science projects byconsidering the characteristics of your dataset. You will start mastering thefundamental concepts of data science, learn problem types, applicationsand how to define data science projects.

Data science provides various tools and approaches to solve a variety of business problems. In this module, you willlearn fundamental notions and problem types in modern data science. Through real use-cases, you will discover avariety of ways in which you can extract value from your data.

Exercise: Learn how to frame business needs as data science problems. You will be givencase descriptions and data and then guided in the transformation of the cases into projects inwell-known machine learning applications.



PREDICTIVE ANALYTICS BASED ON SUPERVISED LEARNING (1 HOUR)

This module starts with the benefits of a data-driven approach over traditional model-based approaches (forexample, in statistics or engineering). We will then have a closer look at predictive analytics through examples. Youwill learn the main steps of the predictive model development process and the best practices in defining a predictionproblem. You will also learn how the quality of a predictive model is evaluated and the main challenges and caveatsin developing a high-quality model.

Group discussion: What are the operational and business implications of the generic model?

Learning objective: By the end of this module, you should be able to communicateeffectively with technical data science experts and help them translate your business needsinto data science applications.

Learning objective: Discover the power of a data-driven approach for modeling.Understand how to transform a business situation into a data science solution..

MODULE 3 3 HOURS





BUILDING AND MANAGING A DATA SCIENCE PROJECT (1 HOUR)

CREATING VALUE FROM DATA

CURRICULUM

This section of the course combines the previous material into a hands-onsession to a data-science process.. This will highlight the key leverage pointsin building and managing data-driven projects from a business perspective. Atraditional business problem will be transformed into a data-driven solution.You will learn how to use design methods to assist you in defining the datascience project.

This module will allow you to understand the managerial implications of a data science project. You will learn how todevelop a strategy for collecting high-quality data, how to benchmark the quality of predictive models and how tomanage the lifecycle of a data-driven model. We will provide key insights into types of innovation that can be achievedwith data science and actual cases demonstrating how predictive analytics can cut costs and improve profits.

Exercise: Build a data collection strategy. Identify and collect the right kind of data to boostthe power of your predictive model. You will receive a description of a business dataset andbe guided by the instructor in identifying relevant data which could be added to the originaldataset.

Learning objective: Learn key parameters to take into account when building and managinga data science project



TRANSFORMING YOUR BUSINESS BY DESIGNING DATA-DRIVEN PRODUCTS AND PROCESSES (2 HOURS)

Mastering the fundamentals of data science will enable you to lead the transformation of your business through thedesign of innovative and data-driven products and processes. This module will present new methodologies fromdesign and innovation literature to generate transformative data projects. Through a hands-on practice session, youwill be guided in the application of what you have learned in this course to a realistic businesstransformation process.

Workshop with breakout groups: each group will receive a problem about a traditionalbusiness practice. The instructor will guide each group in the use of designmethods to consider potential evolutions of the problem and generate a data science projectsfor the transition.

Learning objective: Learn how to use design methods to build value-driven data projects.Learn how to go beyond technical considerations and how to practice value-focusedthinking about data.


AKIN KAZAKCI MINES PARISTECH / PSL RESEARCH UNIVERSITY

INSTRUCTORS

Akin focuses his research on Computer Science and InnovationManagement, more specifically on computational creativity andanalytics in design. He also works with companies from variousindustries, ranging from start-ups and humanitarian organisationsto worldwide industrial groups.

Associate Professor at Mines ParisTechspecialized in Design Theory & Modeling.


BALÁZS KÉGLCNRS / SACLAY CDS / POLYTECHNIQUE

Science and Adjunct Professor at École Poytechnique, Balázs haspublished more than a hundred papers on unsupervised andsupervised learning, large-scale Bayesian inference andoptimization, and on various applications.

Senior Research Scientist at CNRS, Head DataScientist of the Paris-Saclay Center of Data

A Tektos's branch, Tektos Data is an an advanced training school focused on Data Science, Finance and Innovation.Our goal is to make state-of-the-art topics in innovation and data science accessible to leaders and managers fromvarious fields. We have partnerships with leading researchers and industry experts to offer practical beginner andadvanced courses in data science, finance and innovation. Our courses can also be organized in your company and

customized to your needs

Tektos is a startup accelerator and business lab focused on high-tech B2B and B2B2C projects in FinTech, High-Performance Computing, Data Science and Education. We apply the latest innovation techniques to identify, launch

and grow disruptive technology companies and train exceptional entrepreneurs..

To learn more about TektosData and Tektos, please visit our websites:

www.tektos.co

ABOUT TEKTOS DATA AND TEKTOS

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data science for business managers by tektosdata

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