Intro to Python Workshop
#Beginner #Programming #Python
Date/Time:
December 2, 2023 (Saturday), 10:00 AM to 2:00 PM HKT
THIS EVENT IS IN-PERSON ONLY.
🎉 Calling all data enthusiasts in Hong Kong! 🚀 Join SheLovesData’s “Intro to Python Workshop” led by the effervescent Karen Wong, a programming guru and the Co-Lead of SLD’s Hong Kong Chapter! 📊💼
At this workshop hosted by SheLovesData, dive into the world of Python programming and discover its relevance in today’s business world. Here’s what you’ll experience:
🔮 Unleash Python’s Power: Explore why Python is the go-to language for data analysis, visualization, and machine learning. Stay ahead with an introduction to this indispensable tool.
💡 Transforming Businesses: Witness how Python reshapes industries, offering insights, automating tasks and fuels innovation.
🌐 Wide Applications: Python equips you with skills for finance, marketing, logistics, and more, enabling you to extract insights and unlock new opportunities.
💻 Hands-On Learning: Led by Karen Wong, an experienced programmer, will go through interactive coding exercises for beginners and beyond.
📈 Networking Opportunities: Connect with fellow professionals in Hong Kong’s vibrant data and tech community.
👩💼 Be a Python Pioneer: Gain the confidence to drive data initiatives, create impactful visualizations, and transform your business.
Don’t miss this chance to level up your data and tech skills with Python! Join Karen Wong and the SheLovesData community for the “Intro to Python Workshop”, an unforgettable event to propels your career even further! 🚀🐍
Speaker
KAREN WONG, Analyst Programmer – Human-AI Interaction, Logistics and Supply Chain MultiTech R&D Centre | SheLovesData Hong Kong Chapter Co-Lead
Karen is Analyst Programmer at LSCM – one of the five Research & Development Centres in Hong Kong. Over the past 5 years Karen has been working with data in various aspects from database quality, data analytics to machine learning. Karen is actively participating in workshops and events as an instructor and an event orgranizer to help others to share with others the fun of coding and adapting new technologies.
KHASIBA BIBI, Data Analytics Associate – Forensic, Risk Consulting, KPMG
Khasiba Bibi is an experienced data scientist with a background in developing machine learning models and deriving insights using programming techniques. She leverages her strong data analytics abilities and experience delivering impactful data solutions to play a key role in crafting customized analytical solutions for clients.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Limited tickets available.
Q. Is it only for women?
A. This offline career meetup is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: karen@shelovesdata.com
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.
Introduction to Python (Part 2) Signature Program
#Data #Beginner #Python
Date/Time:
25th November 2023 From 3:00 PM to 5:00 PM –SGT
About the event:
This course is for people who have completed basic or beginner level Python. Understand the basics of data types, for loops, while loops, list comprehensions, creating user-defined functions.
Agenda
Data analysis with Python:
– NumPy
– Series
– Dataframe
– NumPy
– Series
– Dataframe
After the class, students will able to:
– Do simple data analysis and data cleaning with Python.
– Understand the difference between NumPy Series, and Dataframe.
– Different ways of combining data in pandas.
– Do simple data analysis and data cleaning with Python.
– Understand the difference between NumPy Series, and Dataframe.
– Different ways of combining data in pandas.
Speakers
(Analytics Lead – Incentives Domain)
Lindsay has over 7 years of data industry experience around marketing, business intelligence, and consumer data in digital tech space. An educator at heart, Lindsay has been advocating and teaching data for 5 years for corporates and bootcamp academy. Outside of work, she loves doing outdoor sports and Latin dancing.
(PhD Candidate & Senior Postgraduate TA)
Deborah is a Software Sustainability Institute fellow in the UK and completing her PhD in humanities data science at University College London. She also teaches undergraduate and master’s degrees as part of her PhD. Her research interests are in the areas of data mining, NLP, visualisation, and machine learning in Python. She loves working with data and is passionate about empowering women with data and technology.
FAQs
Q). Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q). Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q). Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online workshop is open, to everyone irrespective of gender.
Q). Is this an interactive discussion or just a ‘listen-in’ workshop?
A.Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the *breakout sessions*, 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. If you can’t join the online meetup, let us know at least a day before and we’ll be able to offer your spot to someone else on the waitlist. Please email us at signature_programs@shelovesdata.com and we’ll help.
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.
Introduction to Python (Part 1) Signature Program
#Data #Beginner #Python
Date/Time:
18th November 2023 From 3:00 PM to 5:00 PM –SGT
About the event:
This course is for people who have completed basic or beginner level Python. Understand the basics of data types, for loops, while loops, list comprehensions, creating user-defined functions.
Agenda
Data analysis with Python:
– NumPy
– Series
– Dataframe
– NumPy
– Series
– Dataframe
After the class, students will able to:
– Do simple data analysis and data cleaning with Python.
– Understand the difference between NumPy Series, and Dataframe.
– Different ways of combining data in pandas.
– Do simple data analysis and data cleaning with Python.
– Understand the difference between NumPy Series, and Dataframe.
– Different ways of combining data in pandas.
Speakers
(Analytics Lead – Incentives Domain)
Lindsay has over 7 years of data industry experience around marketing, business intelligence, and consumer data in digital tech space. An educator at heart, Lindsay has been advocating and teaching data for 5 years for corporates and bootcamp academy. Outside of work, she loves doing outdoor sports and Latin dancing.
(PhD Candidate & Senior Postgraduate TA)
Deborah is a Software Sustainability Institute fellow in the UK and completing her PhD in humanities data science at University College London. She also teaches undergraduate and master’s degrees as part of her PhD. Her research interests are in the areas of data mining, NLP, visualisation, and machine learning in Python. She loves working with data and is passionate about empowering women with data and technology.
FAQs
Q). Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q). Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q). Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online workshop is open, to everyone irrespective of gender.
Q). Is this an interactive discussion or just a ‘listen-in’ workshop ?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the *breakout sessions*, 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. If you can’t join the online meetup, let us know at least a day before and we’ll be able to offer your spot to someone else on the waitlist. Please email us at signature_programs@shelovesdata.com and we’ll help.
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.
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!
Do you have any other questions?
Please contact us and we’ll help you: support_india@shelovesdata.com
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
Intro to Python
#Programming #Beginner #Python
Improve your understanding on the basic functionality and usage of Python!
Intro to Python is part of the Signature Program of She Loves Data. Intro to Python serves as a foundation module to data analysis in Python. This series is hosted by She Loves Data India Chapter.
Target Audience:
– Beginners in programming and data analysis
– Analysts who want to upgrade their skills.
– She Loves Data SQL completer.
Speakers
Sr Product Analyst, Delivery Hero
Lindsay has more than 7 years data industry experience around marketing, business intelligence, and consumer data in digital tech space. An educator at heart, Lindsay has been advocating and teaching data for 5 years for corporates and bootcamp academy. Outside of work, she loves doing outdoor sports and Latin dancing.
Cloud Architect, Thomson Reuters
Rittika Jindal has around 14 years of experience in data and technology. She is working as Cloud Architect with Thomson Reuters, Bangalore, India. She has strong hands-on experience in building data lakes, data pipelines using Cloud(AWS and GCP) and traditional data warehouse technologies. She loves to trek in the Himalayas and practicing Yoga in her free time.
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, #TheyLoveData too!
Do you have any other question?
Please contact us and we’ll help you: support_india@shelovesdata.com
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
