Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basics Review what you've already learned or pick up key skills Effectively work with data and provide accessible materials to others Jog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.

Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sources Organize and analyze data Use data to tell a story with Tableau Expand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data. Get ready to watch as your career in data takes off.

Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

Ways to learn more from Lillian: 

Data Science for Dummies Launch Party: Data Science For Dummies, 3rd Edition hits the streets in September, 2021 – but not without a proper launch party to celebrate. You’re invited! RSVP here: https://businessgrowth.ai/ The Data Entrepreneur’s Toolkit: A recommendation set for 32 free (or low-cost) tools & processes that'll actually grow your data business (even if you still haven’t put up that website yet!). https://www.data-mania.com/data-entrepreneur-toolkit/ The Data Superhero Quiz: A fun, free 45-second quiz that uncovers the ideal data career path for your personality type and skill set.https://data-mania.com/data-superhero-quiz Weekly Free Trainings: We currently publish 2 free trainings per week on YouTube! https://www.youtube.com/channel/UCK4MGP0A6lBjnQWAmcWBcKQ

Want to break into data science? Check out my new course coming out on August 18th: Data Career Jumpstart - https://www.datacareerjumpstart.com

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Lillian Pierson. Lillian is CEO of Data Mania and she supports data professionals to becoming world data leaders and entrepreneurs. Lillian started Data Mania in 2012, Lillian has had 1.2 million people take her courses or read her book. 

Show Notes 3:37 – How did you make your transition to Data Mania? 8:20 – What is your Brand now? 9:32 – If I contact Lillian @ Data Mania what will I walk away with? 14:01 – Is it methodology or career coach or is it both? 16:35 – Where did you get your experience to put people in these buckets? 19:08 – Do you provide one on one services? 22:48 – Is your team worldwide? 24:36 – What differentiates your book from another? 26:48 – Who is Data Mania targeting? 28:32 – Where do I start? Email -  [email protected] Data-mania Data Superhero Quiz Data Science For Dummies  Lillian Pierson - LinkedIn 

Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Today's episode features Tiankai Feng, Global Director and Voice of Consumer Analytics at Adidas. Tiankai is going to help you decide if you need an analytics Quarantune. A Quarantune is music or a song that is created for quarantine. The best part about this one is that it is all about data and analytics. Trust me - it's not only fun but it literally speaks to our daily lives in this field!!   In this super fun episode, my amazing co-host Lillian Pierson and myself discuss Tiankai's unique talent for combining analytics and music and how it plays into his day-to-day roll at Adidas. He also shares his Digital Analytics Anthem while dropping a number of knowledge bombs right in the song. Tune in to find out if you could use an analytics Quarantune. Knowledge bombs galore!

  [26:03] - Tiankai on working with analysts: Analysts are great collaborators and not only service functions that have to follow your guidance, but we have to work together to make an impact.    [34:54] - Tiankai on the pandemic: You can predict and plan the most things possible, but when really big unexpected things happen like a pandemic or a huge society issue then none of those plans can actually work as you planned before.  Having data and timely insights is even more important now so you can act timely and the right way. [41:01] - Tiankai on the Perfect Job: It is always easy to complain, but it is so much harder to solve the issues.  If you are not happy with the situation then try to change it. For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/69

Enjoyed the Show?  Please leave us a review on iTunes.    

Sponsor Our episode today is sponsored by Data-Mania! In record time, Winning With Data will lead you to identify the #1 data use case that's the absolute quickest win for your organization - so you can get on with the process of building and executing your winning data strategy today. https://www.data-mania.com/winning-with-data-case-collections/ In this episode, you'll learn: [01:01] Lessons Learned: How to build a business-centric data use framework [01:35] User Expectations: What a data strategy is and who should own it (Hint: It's not who you think) [02:10] User Expectations: Why a data use case framework is important and how you can use it
For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/55  

Enjoyed the Show?  Please leave us a review on iTunes.

Free Data Storytelling Training Attend our FREE 'How to be the Chief Datastoryteller in your Org - Part 2 using our Analytics Design Guide' training at webinars.bidatastorytelling.com and download the FREE 50-page Guide! In this episode, you'll learn: [02:18] Three key takeaways and five free headlines to get a response from Linkedin recruiters. [08:14] Benefits of Lock-down: No distractions, increased productivity. [01:09:10] How to prepare for Zoom interviews:   ​ For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/48
  Enjoyed the Show?  Please leave us a review on iTunes.

Today's guest is the talented and intelligent Lillian Pierson. Lillian is a Data Science Instagram rock star with 600K+ followers across social media. Currently, she is the data science instructor for multiple courses on LinkedIn Learning, as well as an author, entrepreneur, coach and social media genius. In this new BI Masterclass, Lillian is going to teach you how to build a solid enterprise-wide data strategy that scales. Stay tuned to get Lillian's best tips for social media, data strategies, and collecting data for use cases In this episode, you'll learn: [10:07] The definition of enterprise-wide data strategy and who it is for [11:35] Lillian's "Aha" moment and her two different types of clients [13:21] Key Quote: "What is the point of all this big data talk? The point is that they generate business value from that new knowledge." - Lillian Pierson For full show notes, his book give away, and the links mentioned visit: https://bibrainz.com/podcast/36 Sponsor This exciting season of AOF is sponsored by our BI Data Storytelling Mastery Accelerator 3-Day Live workshop. Our second one is coming up on Jan 28-30 and registration is open!  At the end of three days, you'll leave with the tools, techniques, and resources you need to engage your users. Register today!   Enjoyed the Show?  Please leave us a review on iTunes

Your ticket to breaking into the field of data science! Jobs in data science are projected to outpace the number of people with data science skills—making those with the knowledge to fill a data science position a hot commodity in the coming years. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of an organization's massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you'll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization's massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you'll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It's a big, big data world out there - let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.