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The data analytics job market seems more competitive than ever right now.
In this episode, John David Ariansen talks about the state of hiring, his recent experience in the job market, what employers are looking for, and how you can stand out and set yourself up for success.
You’ll leave the show with a good understanding of the current market, and some practical and actionable tips you can use to land your next data role.
What You'll Learn: What employers are looking for in today’s analytics job marketWhat candidates can expect from applying, interviewing, and offers
How you can stand out and set yourself up for success
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
John David Ariansen is a Business Analyst, Professor, Podcast Host, and Career Advisor.
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Power BI is one of the hottest data analysis tools in today’s job market.
In this episode, Aaron Parry will talk about why Power BI is in such high demand, the things companies are hiring Power BI experts for, and where you should focus if you want to add Power BI to your bag of tricks.
You’ll leave the show with a deeper understanding of why Power BI is so valuable, what it can do, and where you should focus if you want to build Power BI skills that will advance your career.
What You'll Learn: What makes Power BI such a valuable skill set for so many rolesSome of the most valuable ways you can use Power BI on the job
Where you should focus if you want to build job-ready Power BI skills
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
Aaron is a professional analytics consultant and Microsoft Power BI expert, with 10+ years working in business intelligence and marketing analytics. He's an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions.
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For years, Data Analysts and Data Scientists have been two of the most in-demand roles. In this show, Chris Bruehl and Alice Zhao will talk about the similarities and differences between the two roles, potential career paths, and their thoughts on how you can decide which flavor of data role is a better fit for you. You’ll leave the show with a deeper understanding of these two roles, the types of work they do, the skills required, and some actionable advice for landing the role of your choosing.
What You'll Learn: Why Chris started Maven Analytics, and what the early days were likeHow the company has evolved over time
What’s coming up next for the company and for our learners
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
Chris Bruehl is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA
Follow Chris on LinkedInAlice Zhao is a seasoned data scientist and author of the book, SQL Pocket Guide, 4th Edition (O'Reilly). She has taught numerous courses in Python, SQL, and R as a data science instructor at Maven Analytics and Metis, and as a co-founder of Best Fit Analytics.
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You might think you know Maven Analytics and its Founder, Chris Dutton. But do you know the whole story? During this show, Chris will talk about how and why Maven got started, how it’s evolved over the years, and where things are heading in the future. You’ll leave this show with a deeper understanding of one of your favorite EdTech companies.
What You'll Learn:Why Chris started Maven Analytics, and what the early days were like
How the company has evolved over time
What’s coming up next for the company and for our learners
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Chris Dutton is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.
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Today’s analytics and data science job market seems to be as competitive as it’s ever been. So it’s more important than ever to know what employers are looking for and have a solid plan of attack in your job search.
In this episode, Luke Barousse and Kelly Adams will walk us through their insights from the job market, talk about exactly what employers are looking for, and lay out an actionable plan for you to start building skills that will help you in your career.
You’ll leave this show with a deeper understanding of the job market, and a concrete roadmap you can use to take your data skills and career to the next level.
What You'll Learn:Insights from a deep analysis of the data science and analytics job market
The skills employers are looking for, and why they matter
A roadmap for building key data science and data analytics skills
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
Luke Barousse is a data analyst, YouTuber, and engineer who helps data nerds be more productive.
Follow Luke on LinkedIn Subscribe to Luke's YouTube Channel Luke's Python, SQL, and ChatGPT CoursesKelly Adams is a data analyst, course creator, and writer.
Kelly's Website Follow Kelly on LinkedInDatanerd.Tech
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SQL is one of the most widely used data analysis tools around, often discussed as a cornerstone for Data Analysis, Data Science, and Data Engineering careers.
In this episode, Thais Cooke talks about how she leverages SQL in her role as a Data Analyst and shares practical tips you can use to take your SQL game to the next level.
You’ll leave the show with an insider’s perspective on where SQL adds the most value, and where you should focus if you want to build SQL skills that will advance your career.
What You'll Learn:What makes SQL such a valuable skill set for so many roles
Some of the most valuable ways you can use SQL on the job
Where you can focus if you want to build job-ready SQL skills
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Thais Cooke is a Data Analyst proficient in Excel, SQL, and Python with a background in Clinical Healthcare.
SQL for Healthcare Professionals Course Follow Thais on LinkedInFollow us on Socials:
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Will AI completely revolutionize the way we work as data professionals? Or is it overhyped?
In this episode, Lindsay Murphy and Colleen Tartow will take opposing viewpoints and help us understand whether or not AI can really live up to all the hype.
You’ll leave with a deeper understanding of the current state of AI in data, the tech stack needed to run AI, and where things are heading in the future.
What You'll Learn:The tech stack required to run AI and how it differs from prior “big data” stacks
Will AI change everything in data? Or is it overhyped?
How you should be thinking about AI and its impact on your career
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
Lindsay Murphy is the host of the Women Lead Data podcast as well as the Head of Data at Hiive.
Follow Lindsay on LinkedInColleen Tartow is an engineering and data leader, author, speaker, advisor, mentor, and DEI Advocate.
Data Mesh for Dummies E-Book Follow Colleen on LinkedInFollow us on Socials:
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If you want to improve your resume to start getting employers’ attention and booking job interviews, this one is for you!
In this episode, Albert Bellamy shares his top tips to transform your resume and make sure you’re putting your best foot forward.
You’ll leave this show with a number of practical and actionable ideas that you should be able to use to build a better resume immediately.
What You'll Learn:Why resume writing is such an important skill for data pros at all levels
How employers review resumes and how you can stand out
Albert’s top resume tips and pitfalls to avoid
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Albert Bellamy is a Marine veteran, Senior Business Analytics Instructor at Alteryx, and Data Career coach.
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If you are working in or trying to break into data and want to learn how to fast-track your career, this one is for you!
In this episode, Jess Ramos (180k+ followers on LinkedIn!) shares her best tips and practical advice to help take your career to the next level.
What You'll Learn:How specializing and building niche skills can lead to big opportunities
The importance of a personal brand if you want to accelerate your career
Jess’ top tips for those looking to break into data and move up quickly
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Jess Ramos is the founder of Big Data Energy, a Senior Data Analyst at Crunchbase, a LinkedIn Learning Instructor, and a content creator in the data space. She loves to empower people to grow their careers in data while breaking industry stereotypes!
Jess' Newsletter Follow Jess on LinkedInFollow us on Socials:
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If you’re working on or trying to break into a career in Data Science or Data Engineering, this one is for you.
In this episode, Data Engineering expert and recovering Data Scientist Joe Reis shares some of his best tips and strategies for folks looking to launch or accelerate their data careers.
You’ll leave with practical and actionable advice that you can use to take your career to the next level.
What You'll Learn:Key differences between Analytics, Data Science, and Data Engineering
The top skills and tools to focus on for each of these career paths
How rapidly changing technology like AI is impacting the future of data jobs
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Joe Reis is a "recovering data scientist" and the co-founder & CEO of Ternary Data.
Joe's newest course Fundamentals of Data Engineering Book Follow Joe on LinkedInFollow us on Socials:
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Analytics Engineering is one of the hottest career paths in data today, but many struggle to understand how to break in and where they should focus.
In this episode, we demystify Analytics Engineering. Madison Schott talks about the career path of an Analytics Engineer, what they do for companies, and the tools they use.
She also shares some of the best strategies and actionable advice for those looking to break into Analytics Engineering or take their career to the next level.
What You'll Learn:The day-to-day responsibilities and potential career paths of an Analytics Engineer
The skills you should focus on if you want to break into Analytics Engineering
Tips for networking, finding jobs, and acing the Analytics Interview
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Madison Schott is the Senior Analytics Engineer at ConvertKit and Author of the Learn Analytics Engineering newsletter
Sign up for Madison's newsletter The ABCs of Analytics Engineering E-Book Follow Madison on LinkedInFollow us on Socials:
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In this episode you'll hear best practices for building and leading analytics teams, the impact AI is already making on the industry, and how data teams should be thinking about the future.
Director of Analytics & Data Science Joe Squire will share practical tips for data leaders looking to build effective teams and navigate through today’s rapidly changing environment, and give his thoughts on where things are headed.
What You'll Learn:Best practices for building and leading strong analytics teams
The ways AI is changing analytics and where the data industry is headed
How leaders need to be thinking AI and the long-term impact on their teams
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Joe Squire is a Director of Analytics & Data Science in the healthcare industry. Joe helps companies like UPMC manage and use their data in a meaningful way to improve their healthcare outcomes.
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Microsoft Excel is the most widely used data analysis tool on the planet, but somehow it doesn’t get the love it deserves.
In this episode, Sonali and Chris talk about how they leverage Excel in their data roles at prominent companies, and share practical tips you can use to add more value to your own organization.
You’ll leave the show with an insider’s look at where Excel can make a big impact, and actionable advice about what to learn next to take your game to the next level.
What You'll Learn:What makes Excel the most versatile tool used by data professionals
How Chris and Sonali are leveraging Excel to drive value at their organizations
Tips for where to focus to get the most out of Excel
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
Sonali Kumar works as a Data Analyst specializing in HR Analytics. She is also a podcast host of “Success Beyond Our Greatest Fears.”
Follow Sonali on LinkedInChris French is a Data Advisor, LinkedIn Learning Instructor, and founder of DataFrenchy Academy
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Data governance is more important than ever today, but it’s something a lot of companies still struggle with.
During this live show, George Firican will demystify data governance, breaking down its core components and sharing practical advice that you can use to make improvements at your organization.
What You'll Learn:Why data governance is more important than ever in 2024
The core pillars of a strong data governance program
Practical tips for launching a new data governance program
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
George Firican is the Founder of LightsOnData, and a Data Governance expert and course creator.
The Practical Data Governance: Implementation Course Subscribe to George's YouTube Channel Follow George on LinkedInFollow us on Socials:
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Megan Bowers has had a fascinating career path. She studied Industrial Engineering before landing in data where she’s held roles as an Analyst, Senior Analyst, Data Journalist, and is now the host of the Alter Everything podcast by Alteryx.
In this episode, Megan shares practical tips and useful anecdotes from her journey, and talks about some of the best lessons she’s learned as a Data Journalist and from hosting a data-focused podcast.
What You'll Learn:How data professionals need to be thinking about AI and considerations for building trust in the technology
Takeaways from thought leaders on the podcast on AI strategy, analytics excellence, and data storytelling
How building your professional brand can change your career trajectory and create opportunities
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Megan Bowers is the Senior Content Manager at Alteryx and host of the Alter Everything podcast by Alteryx
Alter Everything Podcast Building Your Professional Brand Megan's Medium Blog Follow Megan on LinkedInFollow us on Socials:
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In Analytics and Data Science departments, we’ve got a pretty good sense for why investing in data is important for any organization.
But how well could you pitch your company to spend its precious resources on improving data quality or better data management practices? Could you tell that data story to the right stakeholders when it matters?
In this episode, you’ll hear from The Data Whisperer, Scott Taylor, sharing his best advice and practical tips for becoming a better storyteller and getting people to take action.
What You'll Learn:Why storytelling is a key skill for anyone who works in data
The importance of data management, and what that really means
Practical tips and frameworks for telling an effective data story
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Scott Taylor
The Data Whisperer, Scott Taylor, has helped countless companies by enlightening business executives to the strategic value of master data and proper data management. He focuses on business alignment and the “strategic WHY” rather than system implementation and the “technical HOW.” At MetaMeta Consulting he works with Enterprise Data Leadership teams and Innovative Tech Brands to tell their data story.
Get Scott's book: Telling Your Data Story: Data Storytelling for Data Management Follow Scott on LinkedInFollow us on Socials:
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Are you ready to elevate your career and advance from Analyst to Sr. Analyst and beyond?
In this episode, you’ll hear from two fantastic Analytics Managers who each lead their own data teams, and know exactly what it takes to get to the next level.
We’ll be sharing some of their best strategies and actionable advice that will help you understand where to focus if you want to advance your career.
What You'll Learn:The skills Analysts should be focusing on to move to the next level
What the promotion process looks like on the Manager side
Tips for fast-tracking yourself, and career-limiting pitfalls to avoid
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
Drew Mooney is an Analytics Manager and Founder at Data Analyst Coaching.
Follow Drew on LinkedInKatie Underwood is an Analytics Manager at Cree LED.
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Being able to present your analysis and convince your teammates to take action is a huge part of the job for any Data Analyst or Data Scientist.
But for many of us, delivering effective presentations isn’t something that comes naturally. Fortunately, everyone (including you) can improve their communication skills if they know what to focus on.
In this session, we’ll be sharing some of the best strategies and actionable advice to help you capture your audience, tell a story with your data, and most importantly, drive impact for your organization.
You’ll leave with specific tips that you’ll be able to use immediately to take your presentation game to the next level.
What You'll LearnWhy most presentations flop and how you can succeed
How to stop sharing data and start telling stories instead
The scientific approach to getting your audience to listen
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Christopher Chin is a techie-turned leadership communication coach. He previously worked for Fortune 500 tech companies like Thermo Fisher Scientific, Humana, and Fannie Mae in the specialties of data journalism, data science, data visualization, and business intelligence. Each time, he saw extremely talented colleagues struggle to get the opportunities they deserved because they couldn’t present, tell a story, and speak with confidence.
Now he works as Founder & CEO of The Hidden Speaker, a training consultancy that puts tech professionals on the path to confident communication. He has returned to Fortune 500 companies to train their technical teams with highly specialized communication workshops, as well as taught for companies and universities around the world.
As a speaker, coach, and trainer, Christopher's work has helped thousands demonstrate leadership through communication and he is passionate about convincing every introverted, techie out there that they, too, can bring out their hidden speaker.
Check out Christopher's free e-book + Newsletter: The Ultimate Data Storytelling and Presentation Guide
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Data quality is the foundation of everything we do as Data Analysts and Data Scientists.
So why do so many organizations suffer from dirty data? And what can you do to clean it up?
In this session, we’ll share some of the best data cleaning strategies and real actionable advice from The Classification Guru, Susan Walsh.
You’ll leave with a solid plan to start identifying problems with your data, and most importantly, to start fixing them on the path to clean data.
What You'll Learn:Why dirty data is such a big problem, and the benefits of cleaning it up
The most common types of dirty data you should be on the lookout for
Where you should focus your data cleaning efforts to make the biggest impact
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guest:
Susan Walsh is a specialist in data classification, taxonomy customisation and data cleansing. She also created the COAT philosophy, which is at the core of The Classification Guru's work.
By bringing clarity and accuracy to data and procurement, Susan helps teams work more effectively and efficiently
More than a numbers gal, Susan’s also an industry thought leader, TEDx speaker and author of the published ‘Between the Spreadsheets: Classifying and Fixing Dirty Data’. She’s also spoken globally at events such as ProcureCon, Big Data LDN, Big Data & AI World and she cuts through the jargon to address the issues of dirty data and its consequences in an entertaining and engaging way.
Fix your dirty data now: www.theclassificationguru.co
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A data career is an amazing path. Once you’re inside, you have good job prospects, fun and challenging work, constant opportunities to learn, solid comp, and can often work from anywhere.
But it can be hard to break in. Today, in 2024, there seems to be more competition than ever for entry level roles. So how can you get started?
In this episode, we’ll be sharing some of the best strategies, actionable advice, and personal anecdotes from two recent career transitioners, Annie Nelson and Ian Klosowicz, who have each inspired and helped countless others.
You’ll leave with a concrete path to landing your first role, and succeeding on the job once you’re there.
What You'll Learn:The skills you should be focusing on and showcasing
Practical advice for networking, finding jobs, applying, and nailing the interview
Tips for using your first 90 days in role to set up your career trajectory
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
About our guests:
Annie Nelson (Annie's Analytics) is a leading data analytics and business intelligence expert. She excels in transforming raw data into actionable insights, making complex data concepts accessible. Annie shares her expertise through speaking engagements, online content, and consulting, helping organizations leverage data to achieve their goals.
Check out Annie's book: How to Become a Data Analyst
Follow Annie on LinkedIn
Ian Klosowicz is a seasoned data analyst dedicated to shaping the next generation of data analysts, with a proven track record of teaching people a roadmap that works for them. He specializes in guiding aspiring data analysts on their journey to securing their first roles in the dynamic world of data analytics.
Subscribe to Ian's newsletter
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