Data Analyst Foundation Program – Session II – Intro to Python
Agenda:
The Data Analyst foundations program covers the basic skill set needed for Data and Analytics, such as SQL queries, Python Programming, Data Visualization and a basic understanding of what is cloud computing.
This program contains four modules.
➢ Intro to SQL
➢ Intro to Python
➢ Data Visualization
➢ Intro to Cloud Computing
These four sessions will prepare you for an entry-level job. You will learn from industry experts and get an opportunity to interact and network with like-minded people.
When you finish all the four courses and complete the assessment test for all the sessions, you’ll earn a Certificate and a credly badge that you can share with prospective employers and your professional network.
Session II – Intro to Python
This session provides an introduction to programming and the Python language. You’ll learn the fundamentals of the Python programming language, along with programming best practices. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets and dictionaries.
Target Audience:
– Beginners in Data and Analytics
– Anyone who wants to upskill in Data
Objective:
– Build skills required for a career in Data and Analytics
– Fundamental understanding of Python
Date/Time:
April 29, 2023 (Saturday), 02:00 PM to 04:30 PM India Time
Speakers:
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based out of APAC. Can I still join?
A. Absolutely! This is an APAC-wide online event. You can join from any part of the world.
Q. Is it only for women?
A. This online webinar is open to all professional men and women. #HeLovesData too!
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
Choose Your Data Adventure
#Data #Beginner #Hiring
Date/Time:
July 21, 2022 (Thursday), 6:00 PM to 7:30 PM AEST
The She Loves Data event in collaboration with Thoughtworks aims to inspire and provide guidance for all women and underrepresented gender minorities looking to embark on a new career or grow their career path in data.
This Event is an interactive event and you will be able to connect with Thoughtworks professionals, ask questions, get career advice and find out more about daily work at Thoughtworks.
Agenda
6:00 – Welcome and Introduction
6:25 – Panel discussion
6:45 – 3 breakout sessions
Session 1 – Kickstart your career in data
Leaders: Tess Guthrie and Sue Visic
The advent of new technologies is opening up exciting opportunities for data-based roles, and it’s fast becoming one of the most in-demand jobs today. So is a career in data right for you? Our data experts will unpack their best career advice and wisdom to help you grow your career in data, including what to consider when making a career choice, the must-have soft and technical skills, tips for a successful interview, the role of data in social impact work, and lots more.
Session 2 – Make the switch to a career in data
Leaders: Ada Leung & Dave Colls
Are you seeking a career change or looking to return to work? Then this session is for you. Our Thoughtworks speakers will share their personal experiences and tips on how to successfully embark on a new career in data and share their advice on ways to transition back to work after a career break or parental leave. They’ll also tackle some tricky questions along the way (is age really an impediment to moving into tech?).
Session 3 – Life as a Thoughtworks data consultant
Leaders: Harmeet Sokhi & Karen Davis
Ever wondered what it’s like to work at Thoughtworks? Step inside the shoes of a Thoughtworks data consultant as we take you through the day in the life of our speakers. Learn about the types of problems Thoughtworks consultants solve with clients as they work on their toughest challenges, the day-to-day responsibilities of a data consultant, and all the ups and downs of consulting life.
Speakers
Director, Data & AI Practice, Thoughtworks Australia
Sue joined Thoughtworks in Australia as a Principal Consultant in 2013. Since then, she has helped many of our clients develop and deliver large scale technology transformation programs. She has enjoyed building high performing teams and partnering with clients on complex problems.
Sue is passionate about the use of data to solve business challenges. In 2020, Sue was appointed Director of our Data and AI Practice, ensuring we deliver high quality data and AI solutions for our clients.
Founder & CEO, Whyhive
Tess has a background in pure mathematics and philosophy and is the CEO & Founder of WhyHive. As the winner of the 2021 B&T Leading Tech Award in the Data Science Category and the 2022 7NEWS Young Achiver of the Year Award for Victoria, they specialise in strategising how organisations can innovate by capturing, analysing and utilising data. With their experience in research, startup frameworks, advocacy and social enterprise, Tess also brings their knowledge and passion for intersectional gender equality to all their work.
Product Delivery, Senior Consultant Thoughtworks
Ada has technology delivery experience across several industries and her experience includes breaking down complex problems in varying domains, including customer facing applications, scaling of ML solutions, and more recently, data strategy and delivery of data platforms.
She has been part of exemplar cross-functional delivery teams, both in-person and remotely, and is an advocate of cultivation as a way to build high performing teams.
Director, Data & AI Practice, Thoughtworks Australia
David is an innovative technology leader, with over 20 years’ experience leading the strategic and technical delivery of data and AI, digital strategy and change solutions. David combines diverse experience delivering complex technology solutions with his passion for customer outcomes to develop high performing teams capable of solving our clients’ complex problems.
As a Director of the Data and AI Practice at Thoughtworks, David oversees all facets of developing Data and AI capabilities service offerings. David’s technical background is in developing simulation software for training and manufacturing.
Head of Talent, Thoughtworks Australia
Pallavi is a global change leader at Thoughtworks with experience of both consulting with clients and business leadership roles. She enjoys applying practices and principles from our rich experience in delivery and transformation back into our business. Her most recent experiences include: transforming global recruiting, leading our graduate programme and reimagining account leadership globally. Pallavi is now the Head of Talent for Thoughtworks Australia.
Principal Data Engineer, Thoughtworks
Karen started her career as a software engineer before moving into the data space, spending time in data warehousing before moving on to machine learning. She has worked on a large variety of data projects including building: data platforms, search applications, real-time streaming data applications right through to getting machine learning models into production. She is passionate about all things data and AI and enjoys solving complex problems.
Lead Data Consultant, Thoughtworks
Harmeet has extensive experience in Cloud, data engineering and machine learning operations. She has worked on designing large enterprise-scale data applications and has also implemented mature machine learning engineering solutions for clients in several industries. She is always in the pursuit of learning and keeps herself current in the ever-changing technology landscape. She is an experienced team leader who helps address challenges, both technical and non-technical, to deliver highly credible results.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 28+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based out of APAC. Can I still join?
A. Absolutely! This is an APAC-wide online event. You can join from any part of the world.
Q. Is it only for women?
A. This online webinar is open to all professional men, women and non binary professionals. #HeLovesData, #TheyLoveData too!
Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
She Loves Data UK December Drinks-Postponed
#SLDUK #Networking #Data
==UPDATE: EVENT POSTPONED==
In light of the recent U.K Government guidelines and our Venue’s COVID Policy, we will be rescheduling the SLD December Drinks to early 2022.
We’d like to say a big thank you to those who have already registered for the event! As a team and along with our event partners, we are keen to get this back in the calendar as soon as we can, whilst ensuring your COVID safety.
In the meantime, please keep in touch and check out our website for any upcoming virtual events you can participate in. You will be hearing from us very soon…
Have a great Christmas and stay safe!
SAVE THE DATE: Partnering with JDX Consulting and Wiserfunding, The She Loves Data U.K. Chapter are hosting an end of year meet-up to celebrate our Dashboard Foundations Course graduates and more generally to bring our data community together for our final event of 2021. Drinks and nibbles will be provided and we’ll also be running a raffle on the evening with some exciting prizes! So come clink a glass with us to celebrate and network with the She Loves Data community and industry leaders in Data and Technology – we look forward to seeing you there!
Tip: Bring some coins to enter the raffle!!
COVID POLICY:
In light of the rising number of COVID-19 cases globally, we are requiring all registered attendees, speakers, sponsors, and volunteers to provide proof of a negative COVID lateral flow test, taken within 24 hours of arrival to the event.
Upon arrival, please be prepared to present evidence (SMS text or e-mail) of negative lateral flow COVID test ready for verification.
Sponsors
SLD UK Chapter is excited to announce that they’re partnering with JDX Consulting and Wiser Funding for this event.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of Singapore. Can I still join?
A. Lucky for London, this is an in-person event and as such is only available for in person attendance in London. Please take note of the required Covid-measures listed above!
Q. Is it only for women?
A. Just like all our She Loves Data #MeetUp events, this programme is open to all genders.
Q. Is this an interactive discussion or just a ‘listen-in’ event?
A. Definitely interactive! Your thoughts, feedback, and questions are most welcome and will be entertained during and at the end of the discussion.
Q. What if something comes up and I need to retract my registration?
A. Please be considerate and let us know if you won’t be able to attend the meetup in advance, so we can offer your place to somebody else.
Contact us and we’ll help you.
The email you need is [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or video may be taken at the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
The Data Journey: What happens behind the scene
Dec 4, 2021 (Saturday), 10:00 AM to 11:00 AM Jakarta Time (WIB)
AGENDA
This session will unveil the first steps to have a career in data in the Indonesian landscape.
We will explore skills we need to learn, how to network and also discuss how women can challenge stereotypes prevalent in the tech world (crazy hours, being reclusive, anti-social etc)
The goal of our session is to be engaging and informative so we hope you will join us!
Speakers
Thilma Komaling
AI Ethics and Policy Researcher@Komaling Consulting
Thilma Komaling is a Social Activist and an AI Ethics and Policy Researcher. She is the woman behind Car Free Day movement in 2004 that has later been replicated nationwide. She also initiated Smart Citizen Day (the first in the world) in 2018 in collaboration with Ministry of Communications and Information with a citizen reporting application.
Nenden Sekar Arum
Program Manager@Indonesia Data Journalism Network
Nenden S. Arum is a researcher focused on digital product management and data automation. She was a journalist covering business and economic issue, and analyst in a Jakarta-based data and media company. She is now involved in organising the data journalist community with Indonesian Data Journalism Network (IDJN) as Program Manager.
Lili Ayu Wulandhari
Data Scientist@tiket.com
Lili is a data scientist at tiket.com. Prior to that she was with Ralali.com and Gojek. She is also a lecturer at Bina Nusantara University. She has experience in machine learning both on research side and in implementation.
Tiffany Adriana
Customer Solutions Consultant@Google Cloud Indonesia
Tiffany is a Customer Solutions Consultant at Google Cloud, with a specialization in data analytics. She works with customers to reach their potential by accelerating their digital transformation through the power of Google Cloud.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of Indonesia. Can I still join?
A. Absolutely! This is an APAC-wide online event. However, we will be exploring the Indonesian Technology and data landscape and will be primarily talking in Bahasa Indonesia.
Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online webinar is open to professionals of all genders. #HeLovesData #Zelovesdata too! We will be discussing challenges faced by women so we hope the males can support this discussion.
Q. Is this an interactive discussion or just a ‘listen-in’ webinar?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and live Q&A portions at the end of the discussion.
Q. What if something comes up and I need to retract my registration?
A. Please be considerate and let us know if you won’t be able to attend the online meetup a day in advance, so we can offer your place to somebody else.
Contact us and we’ll help you.
The email you need is [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or video may be taken at the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Signature Program: Intermediate SQL
#Data #Intermediate #SQL
Nov 27, 2021 (Saturday), 10:30 AM to 01:00 PM Singapore Time
Agenda
Improve your understanding on intermediate functionality, and usage of SQL
-> Get a deeper understanding on datatypes
-> Learn the order of execution for SQL Commands
-> Understand how to manage, update and change a table in a database
-> View, join and combine related data across multiple tables
-> Get ready for the next advanced course!
Speakers
Senior Vice President, Banking and Financial Services Industry
Aish has ~10 years of experience leading digital, data, transformation, and automation initiatives in the financial services industry. She is a machine learning and AI enthusiast and uses data and technology in her current role to build business solutions with her team. In her free, Aish explores painting and also auctions her original artwork for charity
AWS, Strategy & Analytics Manager
Arushi is an analytics professional with ~8 years of experience within the tech industry across high-growth startups. In her day job, she combines her business knowledge and data skills to drive data-driven strategic initiatives and programs. Outside of her day job, she mentors early-stage startups in Southeast Asia on various topics.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of APAC. Can I still join?
A. Absolutely! This is a worldwide online event. You can join from any part of the world.
Q. Is it only for women?
A. The online webinar is an inclusive event and open to all genders. #HeLovesData #zelovesdata too!
Do you have any other questions?
Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Consider Data Careers in Healthcare: Advancing Health Care with Inclusive Clinical Trials and AI
Find out the skills required to be part of this growing industry. Learn the AI technologies being used in healthcare. Join us in this free discussion and global networking session.
Middle East Chapter Launch at AI EVERYTHING x GITEX 2021
Middle East Chapter Launch at AI EVERYTHING x GITEX 2021
She Loves Data is coming to the Middle East!
This October 19, we are officially opening our Middle East Chapter in Dubai through a live, in-person launch event – “Women in Data and AI by She Loves Data” , at the AI Everything x GITEX Tech Summit 2021, the world’s largest global AI conference.
Visit us at Sheikh Rashid Hall, Dubai World Trade Centre on October 19 (Tuesday), 2 to 5 pm to meet our She Loves Data Co-Founders Jana Marle Zizkova and Pavel Bulowski, as well as our new Chapter Co-Leads Begum Saygecelti and Komal Kaundal, and their ME volunteering team.
Find out more and register for the conference here: https://www.ai-everything.com/she-loves
#conference #MiddleEast #womenintech #womenindata
No data background yet? No worries
Article by: Emma Foster | 02:00pm August 16 2021
Meggy Chung, Westpac’s general manager of data platforms, has a multi-pronged approach to addressing the data skills shortage. (Supplied)
If you’re already proficient when it comes to working with data, you’ll know your skills are in hot demand.
But even if you’re not, doors to data-related jobs are swinging wide open.
It’s a phenomenon spurred by companies the world over attempting to keep pace with the digitisation of everyday interactions, propelled into warp speed since the COVID-19 pandemic broke out.
“It’s a super exciting time, but it’s become a huge issue to find the right skill set,” says Jana Marlé-Zizková, chief executive and co-founder of the global data training community, She Loves Data.
“COVID has sped up in an extreme way not only how people consume, but how they communicate, search, interact – where digitalisation is playing an enormous role. Organisations are needing to adapt, not just their hiring processes but to support the constant upskilling of their people in working with data.”
It’s a challenge Meggy Chung knows well.
Since joining Westpac as general manager of the bank’s data platforms in February last year just as the pandemic began, Chung saw competition for talent heat up even more as skilled migration to Australia ground to a halt.
“Even when borders open, Australia will still have a skills shortage, more so than other parts of the world,” says Chung, who joined the bank from Singapore where she spent six years with Citibank, most recently leading its data services team.
In fact, research by Deloitte Access Economics and RMIT has found Australia needs 156,000 new technology workers in the five years to 2025 to ensure economic growth is not harmed. Globally, Korn Ferry has estimated the shortage of tech workers will represent $8.5 trillion in lost annual revenue in the decade to 2030.
Chung, who previously also worked in the UK at Barclays and Accenture, is taking a multi-pronged approach to tackle the challenge of augmenting her team to deliver on the bank’s growing pipeline of data-led projects, which she estimates will require up to 200 people over the next two years.
Besides throwing her hiring net wider to include talent in non-banking industries, she says her priorities are to rebalance her team so the majority of roles are held by permanent staff rather than vendors, build internal capability so those staff step into the more advanced data roles, and promote the idea that working in data doesn’t always mean you need a data degree.
“I have yet to speak to someone who can’t find a way into data,” she says.
“You can have an operational background, a risk background, work in reporting, analytics, marketing technology, or project delivery – they are all skills you can leverage. If people want to get into data, then chances are I will have a role somewhere.”
To help this mindset shift, Chung has spearheaded a set of initiatives, some aligned closely with her fervent commitment to getting more women into the male-dominated domain.
She’s set up “Data Gals”, an employee-led “tribe” to inspire more women across the bank to make a career shift; and partnered with global organisations with a similar mission, such as She Loves Data, a group Chung first partnered with in 2018 when at Citibank in Singapore.
New data education programs are also being rolled out for bank staff, including “tech talks” for general managers and a four-part series for interested members of the bank’s employee “clubs”, such as the 3000-plus members of under 35s professional development group The Youth Network, covering everything from how to use tools like Tableau to what the future holds for machine learning.
And to increase the bottom-up pipeline of highly sought advanced analytics skills, Chung is dialing up the bank’s focus on university graduates, adding a new data-specific stream to the bank’s existing graduate program, complementing other initiatives such as Westpac’s Young Technologist scholarship program.
“We want these graduates, not just because they come out with data skills, but because the younger generation sees data differently,” Chung says. “They intuitively know more about how and why data can be used by people and what the possibilities are.”
But, Microsoft digital advisor, Ashton Bridge, says it’s tough to interest younger people into data-centric careers – and convince them they can do the job.
“It’s all about painting a picture for what careers really look like, even if you haven’t obtained those hard technical skills, like coding,” says Bridge, who will be part of a data panel later this week for Westpac staff.
Bridge’s path to Microsoft is a case in point.
Having started her career as a laboratory assistant, working on autopsies in a hospital morgue, with aspirations to become a coroner, she says she shifted to tech after a project to overhaul the lab’s pathology IT system, and never looked back.
“I’m not a deep technical expert; I rely on people with that expertise,” Bridge says.
“My job is to bridge the gap between them and the business I’m advising to help solve their business problems. I found out I could apply my knowledge and experience into the tech world, and learn on the job, without following the traditional university path.”
Marlé-Zizková says organisations like She Loves Data play an important role in building potential candidates’ “competence, confidence and leadership” – across both soft skills (like project management) and hard skills (like coding and statistical modeling) – through a series of education workshops and webinars. Since founding the not-for-profit in Singapore in 2016, she says more than 14,000 women have taken part in training in 17 countries, including Australia.
The group also connects job-ready candidates with opportunities through “recruitment fairs”, virtual events where hiring managers showcase roles while candidates showcase their skills – a mechanism Chung says Westpac soon plans to adopt as part of its partnership with She Loves Data.
Chung says these initiatives go much deeper than simply recruiting talent for her data platforms area.
“We are on a mission to transform Westpac into a data driven organisation,” she says.
“And to do so, the whole of Westpac needs to become more data literate, so that people, for example, those in operational roles, can imagine and use data differently to improve their everyday work.”
She Loves Data London Chapter networking event
#shelovesdata #london #londonnetworking
A chance to meet the growing SLD London Chapter community to network and hear from speakers from the data industry and She Loves Data to discuss hot topics in data in an informal and relaxed roundtable event.
Speakers
Larice Stielow is a senior economist in PwC UK’s Strategy& consulting practice. She is passionate about using economic analysis to support and influence policy and spending decisions that improve peoples’ lives. She works extensively in government policy, infrastructure and transport, aid, trade and investment, skills and employment, and sustainability. Larice is the lead author of PwC’s Women in Work 2021 Index, which measures the OECD’s progress towards gender equality in work, and discusses the impact of COVID-19 on women’s employment outcomes. pwc.co.uk/womeninwork
Niamh Kingsley is a Data and Technology Manager at JDX Consulting, currently studying a masters in Neuroscience at King’s College London. Both Niamh’s professional and academic career has been no short of the ordinary, from reading a Bachelor’s degree in International Politics, to her extensive qualifications in Python, Swift, GitLab and many others, Niamh is a shining example of how to break into the data industry in style! As a frequent content contributor to ‘Towards Data Science’ publications, Niamh is passionate about understanding the depths and limitations of AI in both the natural and technological world. She is an avid gamer and has formed a series of panels in her career, including most recent Multiverse’s Women in Tech: Developing the Leaders of the Future.
Noaman Mangera is an Analytics Consultant at Bizatory who shares a strong passion for data. His day-to-day role has exposed him to the intricacies of data analytics, from cleaning, analysing and visualising data in a way that can communicate the most compelling stories using software such as SQL, Tableau and Python to name a few. Noaman frequently demonstrates his knowledge and understanding in this field by writing about the current trends in data visualisation, business analytics and machine learning for LinkedIn and is passionate about teaching others and sharing his own experiences of dealing with data.
Prerna Goel is not only a highly recognised leader and gamechanger in the payments technology industry and has taken on a number of senior positions in her career, she is also the She Loves Data London Chapter founder and lead. Prerna would love to discuss all things She Loves Data and how you can benefit from the organisation. It will also be a great opportunity to discuss and ask questions about her career, particularly as a female in the industry. The London Chapter is really excited to meet its community, register now and we look forward to meeting you in person to discuss all things data
Sponsors
SLD London Chapter is excited to announce that Tibco Software is a proud supporter of this event.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of Singapore. Can I still join?
A. Lucky for London, they are getting to run their first in person event and as such is only available for in person attendance in London.
Q. Is it only for women?
A. Just like all our She Loves Data #MeetUp events, this programme is open to all professional men and women. #HeLovesData too!
Q. Is this an interactive discussion or just a ‘listen-in’ event?
A. Definitely interactive! Your thoughts, feedback, and questions are most welcome and will be entertained during and at the end of the discussion.
Q. What if something comes up and I need to retract my registration?
A. Please be considerate and let us know if you won’t be able to attend the meetup in advance, so we can offer your place to somebody else.
Contact us and we’ll help you.
The email you need is [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or video may be taken at the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Data analytics enabled by AI/ML: Unlocking the future of customer experience
#Data #Beginner #AI
August 18 2021 (Wednesday), 11:30 to 13:00 London time, 12:30 – 14:00 Prague time, 6:30 PM to 8:00 PM Singapore Time
Artificial Intelligence will assist retailers in making better revenue forecasts in the future by providing better customer service, and retargeting customers who have left.
In this webinar, you will learn the importance of customer analytics, how this technology changes both the way people live and shop, and the way they connect with the world.
You can use this knowledge to run a business and apply AI in your business to improve customer experience and create personalization and product recommendations.
Topics we’ll go through during this webinar:
What Machine Learning is?
What counts as Artificial Intelligence?
Unlocking Data-Driven AI customer experience.
How do you collect data?
How do you analyze social media data?
Uses of Customer Analytics.
Used Cases of Customer Analytics.
This webinar is designed for beginners and people with basic knowledge of AI/ML.
Speakers
Radim Dudek
Product Director @Yieldigo @Yieldigo
Radim is an expert in data science and automated decision making. A mathematician by trade and an enthusiast for new technology. Has been involved in multiple academic research projects as well as software product development. Co-founded Yieldigo, a company providing an AI-based price optimization system used by multiple large retail chains in Europe.
Associate Professor Dr. Angela Lee
Program Leader Data Analytics @ Sunway University, Malaysia @Sunway University, Malaysia
AP Dr Angela Lee Siew Hoong is an Associate Professor Data Science at the School of Engineering and Technology, Sunway University. As a program leader, she plans, builds, and launches data science programs in the university. Her current research interest includes social media analytics, sentiment analysis, healthcare analytics, and technology adoption. She founded Sunway Analytics Society at Sunway University and SAS User group Malaysia. She is a certified Alibaba GET Global E-Commerce trainer. In her recent achievement, she won the Distinguish SAS Educator Award 2021 Asia Pacific at the SAS Global Forum.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of Prague. Can I still join?
A. Absolutely! This is a world wide online event. You can join from any part of the world.
Q. Is it only for women?
A. The online webinar is an inclusive event and open to all genders. #HeLovesData #zelovesdata too! But the content for this specific workshop is designed for women as of now.
Do you have any other question? Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or video may be taken at the event. By taking part in this event you grant the event organisers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
