How to Create an Irresistible Data Science Resume (with code) by Frank Andrade via @TDataScience

Stop wasting time using Word. Use templates, a few lines of code, and techniques to increase your chances of getting an interview.

Some really good advice here from Frank that appears to be well worthwhile following. Make the time to really think about what he is saying here.

Differences Between concat(), merge() and join() with Python by Amit Chauhan via @towards_AI

 Combining data frames in Pandas.

This looks very useful and worth a bookmark, an addition to Evernote or printout.

WEBINAR: Fast and Fearless - The Future of IoT Software Development Part 3 of 4: Making the Most of IoT Connectivity - 28 September 2021

 

Webinar Series Click Here to Register Title: Fast and Fearless - The Future of IoT Software Development Part 3 of 4: Making the Most of IoT Connectivity Date: Tuesday, September 28, 2021 Time: 8:00 am PDT/ 3:00 pm UTC Duration: 60 minutes   SUMMARY The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on. How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets?   This webinar will help you to choose the appropriate connectivity protocol for your IoT application. The presenters will deliver an overview of Wi-Fi, NB-IoT, Bluetooth and LoRaWAN and their benefits, provide examples and application ideas, as well as useful resources for developers of all skill levels - whether you're just getting started or you've been working in the IoT for some years. There will also be an opportunity for Q&A. This webinar is part of a series taking you through the fundamental steps, tools and opportunities for simplifying IoT development.  Speakers: Omer Cheema, Head of Wi-Fi Business Unit at Renesas Semiconductor Wienke Giezeman, Co-Founder and CEO at The Things Industries Samuele Falconer, Principal Product Manager at u-blox Thomas Cuyckens, System Architect at Qorvo   Click Here to Register

A Data Science Portfolio That Will Land You The Job by Natassha Selvaraj via @kdnuggets

Landing a data science job is no easy feat, especially during the COVID-19 pandemic. This article provides aspiring data scientists with advice on building a data science portfolio that stands out.

A great introduction and some advice on sorting out your own portfolio. You can always go to her website and check a few things.

WEBINAR: Register for the 2021 Fall Graph + AI Summit - 5th and 19th October 2021

 

Sponsored News from Data Science Central Graph + AI Summit Fall - October 2021 The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning with graph algorithms. The Fall Summit returns October 5 from San Francisco and October 19 from New York (in-person attendance by nomination). Sessions and keynotes will be streamed live on each date with online content and workshops available in between.   The Graph + AI Summit held this spring attracted 7,000 attendees from 74 countries. Data scientists, data engineers, architects, and business and IT executives from over 182 of the Fortune 500 companies participated in April's event. Speakers included experts from JPMorgan Chase, New Day, Intuit, Amazon, Exact Sciences, Jaguar Land Rover, Pinterest, Stanford University, Forrester Research, Accenture, Capgemini, KPMG, Intel, Dell, and Xilinx, along with many innovative startups. The Graph + AI Summit Fall 2021 roster will feature many of these thought leaders along with new speakers from the world’s largest companies across all industries. Rita Sallam Distinguished VP Analyst and Gartner Fellow at Gartner Research will deliver the opening remarks at Graph + AI Summit, San Francisco, on October 5. Mrs. Sallam's focus includes tracking and predicting market trends, vendor assessment and selection, and identifying best practices for making analytics pervasive and strategic to the business.  Dan McCreary, Distinguished Engineer in AI and Graph at Optum (a division of UnitedHealth Group) will present an overview of key use cases combining Graph with machine learning to find similar patients and improve provider recommendations for over 50 million customers.  Gautam Gupta, Technology Leader focused on AI, ML, Data Science, and Cloud at Intuit Corporation will share how AI-based customer 360 has boosted fraud detection by 50% and is powering entity resolution and personalized recommendations for Intuit's customers.  Join us in October and level-up your knowledge as a data scientist, engineer, architect, or business executive with sessions covering: Graph case studies in three industry tracks: Banking, Insurance, and Fintech Technology, Advertising, Media, and Entertainment Healthcare, Life Sciences and Government Hands-on workshops and technical breakout sessions for the integration of graph algorithms into your Analytics and AI projects Certification on graph algorithms for machine learning Enterprise-ready visualization dashboards that integrate AI with your graph-based solutions Secure your complimentary virtual registration and learn more about in-person attendance and speaking submissions:

Master Python Sets With These 6 Things by @ycui01 via @TDataScience

Use sets wisely in your Python projects.

There are definitely some methods that only exist for sets. A good reminder on sets and what they do.

WEBINAR: Fast and Fearless - The Future of IoT Software Development Part 3 of 4: Making the Most of IoT Connectivity - 28 September 2021

 

Webinar Series Click Here to Register Title: Fast and Fearless - The Future of IoT Software Development Part 3 of 4: Making the Most of IoT Connectivity Date: Tuesday, September 28, 2021 Time: 8:00 am PDT/ 3:00 pm UTC Duration: 60 minutes   SUMMARY The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on. How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets? This webinar series will take you through the fundamental steps, tools and opportunities for simplifying IoT development. Each webinar will be a panel discussion with industry experts who will share their experience and development tips on a specific topic. This session will cover how to make the most of IoT connectivity and further details will be announced in the coming weeks.   Click Here to Register

WEBINAR: Catalyzing Innovation with SAS Viya on Microsoft Azure - 28 September 2021

 

Sponsored News from Data Science Central

Webinar: Catalyzing Banking Innovation with SAS Viya on Microsoft Azure What: A free online webinar exclusively for IT Pros When: Tuesday, September 28th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now Register to attend a lively discussion with two leaders from the banking track of the most recent SAS Global Hackathon in this latest Data Science Central webinar. James Swinnerton, Principal Solutions Architect at SAS, is joined by SAS Advisory Industry Consultant Alex Kwiatkowski to examine the innovative approaches to problem solving taken by the banking teams. They will discuss solutions such as a machine learning-driven loan application process, models to explore sustainability performance, to predict / prevent fraud, and more. They will delve into the enabling role of the SAS Viya on Azure environments that they hacked in and how those advantages might transfer more broadly to the rich opportunities made possible by digital transformation. Tune in as they explore how cloud-deployed analytics is opening up new horizons for data scientists to address broad industry challenges, such as risk modeling, anti-money laundering, stress testing and various forms of fraud detection and prevention.

5 Common Excel Tasks Simplified with Python by Frank Andrade via @TDataScience

Using Pandas, OS, and the DateTime module to simplify Excel tasks with Python.

I really like this which can be used to make yourself easier as well as a great learning experience.

WEBINAR - How to scale a data literacy program at your organization - 23 September 2021

 

NEWSLETTER HOW TO SCALE A DATA LITERACY PROGRAM AT YOUR ORGANIZATION REGISTER NOW You’re invited! September 23, 2021 2PM ET / 11 AM PT 60 min session REGISTER NOW Join this new webinar panel to learn how to scale a data literacy program at your organization with a discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. Data and analytics specialists from Starbucks, bol. com, and Cardinal Health will share practical guidance and examples from effective programs that help with data skill-building, improving decision-making, and fostering a data literate culture – so everyone at your organization can confidently read, write, analyze and communicate with data. Featured Speakers Megan Brown Director, Data Literacy at Starbucks Jennifer Wheeler Director, IT Data and Analytics at Cardinal Health Mariska Veenhof-Bulten Business Intelligence Lead at bol. com

Data Science Cheat Sheet 2.0 by Aaron Wang via @kdnuggets

Check out this helpful, 5-page data science cheat sheet to assist with your exam reviews, interview prep, and anything in-between.

Something to print out and pin up or add to your Evernote. 

Intro to Object-Oriented Programming For Data Scientists by @BexTuychiev via @towardsdev

Implement a simple Linear Regression with OOP basics on your own.

I love this and the clear examples of code. Object-oriented programming might appear to be extra work but if you have a long or complicated piece of code it is very useful to standardise exactly what you are doing and how. 

DATA festival #online - 15 - 16 September 2021

 

"The DATA festival #online surprised me in a very positive way. The sessions were held by a wide variety of global companies, whose representatives reported on both their best practices and challenges. It's always great to exchange ideas with people who love data and analytics as much as I do!" - Jessica Weiler, Technical Service Data Manager at WMF Professional Coffee Machines We’re counting the days until the DATA festival #online returns on September 15th & 16th. Explore how #DATA & AI bring value to business. Enjoy the inspiring talks, panels and tables, join 2,000 other members of Europe’s #datacommunity! For one last time, you have the chance to take part without any travel or any costs for you!Save your free spot

A lightweight data validation ecosystem with R, GitHub, and Slack by/via @EmilyRiederer

Nice approach for building an "advanced" but right-size data monitoring solution using common tools: GitHub (Actions, Pages, issues), R (pointblank + projmgr pkgs), and Slack notifications.

This is very useful and definitely worth a bookmark if not at printout or an addition to a folder in Evernote.

A Complete Data Analytics Project with Python by Natassha Selvaraj via @TDataScience

Data collection, analysis, visualization, and presentation.

I really enjoyed this as it worked completely through the one example from start to finished explaining all of the thought processes. Go through this and use it as a bit of a blueprint on how to do this going forward.

WEBINAR: AI vs unstructured data: Best practices for scaling video AI - 15 September 2021

 

AI vs unstructured data: Best practices for scaling video AI What: A free online webinar exclusively for IT Pros When: Wednesday, September 15th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now In this latest Data Science Central webinar, Vincent Koops, Senior Data Scientist at RTL Netherlands, will walk through their Video AI platform at RTL and how they’ve addressed the challenge of scaling and automating their ML lifecycle when working with large unstructured datasets. Their platform is built on top of Pachyderm and Kubernetes to enable a wide range of ML applications such as automatic thumbnail picking and mid-roll marking. Register to learn: - How to take a modular approach to creating a scalable and automated ML platform - The challenges and best practices when working with unstructured data like video clips - Considerations your teams need to make to prevent human error while getting the most out of AI and ML Hope to see you there! Sean Welch Data Science Central

WEBINAR: Inspiring Change with Data Visualization - 14 September 2021

 

Webinar: Inspiring Change with Data Visualization What: A free online webinar exclusively for IT Pros When: Tuesday, September 14th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now Register to attend a lively conversation about data visualization in this latest Data Science Central webinar. Hear from Steve Wexler, Principal at Data Revelations, and see real-world examples that people employed to change the way their organizations did business.. Those viewing this webinar will see examples and think, "Yes! I see and understand this!" And more importantly, "Yes, our organization can do this, too!" You will come away with a greater understanding of data visualization and tips to improve your own work.

All the Datasets You Need to Practice Data Science Skills and Make a Great Portfolio by @rashida048 via @TDataScience

A Great Collection of Different kinds of Datasets.

Some great sources with some code examples in order to really step up for data science knowledge and give you every opportunity to practice writing code and reviewing the results you receive. Please use this and don't just try one thing per dataset - sometimes knowing the dataset well gives you the extra piece of confidence to try something new - just don't fall into the trap of making assumptions that are incorrect.

Difference Between RPA and RDA by/via @7wData

In today’s technology-driven digital era, businesses are constantly looking toward fast, efficient delivery by limiting human actions on certain mundane tasks. Robotic Process Automation (RPA) is the fastest growing technology that’s considered as the first step towards Automation of Business processes.

I found this very clear and it helped to clarify in my mind what they were and what they involved. I think they are definitely the way forward and don't necessarily reduce staff as make sure that the ones that you have can achieve far more.

What can GitHub copilot do for Data scientists? by Adiamaan Keerthi via @TDataScience

A no-nonsense guide to using copilot today.

This looks interesting and I would be fascinated to see which direction it goes in the future as it could help programmers as well people who are not trained to write Python. Some good advice on using copilot.