My wife and I just had our first baby. Everyone is doing well. So I’m taking the week off to spend time with my amazing family.

In the meantime, I would appreciate you leaving a rating for the podcast. The ratings & reviews help me stay motivated, as well as help others find the podcast. If you’re on Apple Podcasts, scroll to the bottom of the Data Career Podcast page and you’ll find the spot to leave a rating a review. If you’re on Spotify, you should see a rating with a star towards the top left of the page (below the podcast art). Click it and leave a rating. I’d love to hit 50 on each platform. Appreciate you listening & have a great week. 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

Stop being left behind by not building data project.

It can be intimidating to build a real-world data project alone.

But why be alone when you can be with us in the Data Project Club?

Come join me talking about cool Data Project Club, that can help you show your skills, build your project and expand your data network.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(1:00) - Projects Are The Cheat Code

(1:55) - Why data project are your career accelerator?

(3:37) - Show Your Skills > Tell Your Skills

(3:43) - Doing data projects is FUN!!!

(4:37) - Come join The Data Project Club

(5:51) - Practice. Build Connect.

(7:01) - My Bootcamp

(7:30) - Data Project Club Perks

(10:48) - Data Project Club Tiers

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

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

This IBM® Redpaper Product Guide describes the IBM FlashSystem® 7300 solution, which is a next-generation IBM FlashSystem control enclosure. It combines the performance of flash and a Non-Volatile Memory Express (NVMe)-optimized architecture with the reliability and innovation of IBM FlashCore® technology and the rich feature set and high availability (HA) of IBM Spectrum® Virtualize. To take advantage of artificial intelligence (AI)-enhanced applications, real-time big data analytics, and cloud architectures that require higher levels of system performance and storage capacity, enterprises around the globe are rapidly moving to modernize established IT infrastructures. However, for many organizations, staff resources, and expertise are limited, and cost-efficiency is a top priority. These organizations have important investments in existing infrastructure that they want to maximize. They need enterprise-grade solutions that optimize cost-efficiency while simplifying the pathway to modernization. IBM FlashSystem 7300 is designed specifically for these requirements and use cases. It also delivers a cyber resilience without compromising application performance. IBM FlashSystem 7300 provides a rich set of software-defined storage (SDS) features that are delivered by IBM Spectrum Virtualize, including the following examples: Data reduction and deduplication Dynamic tiering Thin-provisioning Snapshots Cloning Replication and data copy services Cyber resilience Transparent Cloud Tiering (TCT) IBM HyperSwap® including 3-site replication for high availability Scale-out and scale-up configurations further enhance capacity and throughput for better availability With the release of IBM Spectrum Virtualize V8.5, extra functions and features are available, including support for new third-generation IBM FlashCore Modules Non-Volatile Memory Express (NVMe) type drives within the control enclosure, and 100 Gbps Ethernet adapters that provide NVMe Remote Direct Memory Access (RDMA) options. New software features include GUI enhancements, security enhancements including multifactor authentication and single sign-on, and Fibre Channel (FC) portsets.

If you find yourself in a situation where you don't have a college degree, I want you to know it is possible to land a data job.

In this episode, Teshawn Black shares his experience landing data contracts at Google & LinkedIn despite having no certifications.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Teshawn’s Links:

https://www.tiktok.com/@the6figureanalyst

https://app.mediakits.com/the6figureanalyst

Timestamps:

(6:29) - Providing value is KEY! (10:49) - We don’t have tomorrow, so live today (13:43) - Understand what company looks for (17:05) - Learn to communicate effectively (19:14) - Working contract jobs is a blessing (20:17) - Always market yourself (22:33) - Ask the budget first (25:07) - Is job security really SECURE? (27:35) - We are all expendable (29:32) - Focus on data cleaning & data manipulation (30:42) - Don’t skip Excel!

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

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

The Modern Data Stack has brought a lot of new buzzwords into the data engineering lexicon: "data mesh", "data observability", "reverse ETL", "data lineage", "analytics engineering". In this light-hearted talk we will demystify the evolving revolution that will define the future of data analytics & engineering teams.

Our journey begins with the PyData Stack: pandas pipelines powering ETL workflows...clean code, tested code, data validation, perfect for in-memory workflows. As demand for self-serve analytics grows, new data sources bring more APIs to model, more code to maintain, DAG workflow orchestration tools, new nuances to capture ("the tax team defines revenue differently"), more dashboards, more not-quite-bugs ("but my number says this...").

This data maturity journey is a well-trodden path with common pitfalls & opportunities. After dashboards comes predictive modelling ("what will happen"), prescriptive modelling ("what should we do?"), perhaps eventually automated decision making. Getting there is much easier with the advent of the Python Powered Modern Data Stack.

In this talk, we will cover the shift from ETL to ELT, the open-source Modern Data Stack tools you should know, with a focus on how dbt's new Python integration is changing how data pipelines are built, run, tested & maintained. By understanding the latest trends & buzzwords, attendees will gain a deeper insight into Python's role at the core of the future of data engineering.

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing, and is becoming the de facto standard for tabular data. This talk will give an overview of the recent developments both in Apache Arrow itself as how it is being adopted in the PyData ecosystem (and beyond) and can improve your day-to-day data analytics workflows.

Building data analytics projects is the key to landing your first data job.

Here’s a 6-step guide to doing your first project.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(1:43) - Step 1: Deciding What Project To Do

(4:00) - Step 2: Finding a Good Data Set

(5:30) - Step 3: Defining the Project

(6:32) - Step 4: Exploratory Data Analysis

(9:16) - Step 5: Real Analysis

(11:04) - Step 6: Publish the project

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

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

What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.

If you want to learn data visualization, here are the best 5 books you should read.

Get the books via links down below.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(0:34) - Book 1: Storytelling with Data

(1:50) - Book 2: The Big Book of Dashboards

(2:51) - Book 3: Envisioning Information

(4:12) - Book 4: How Charts Lie

(5:14) - Book 5: Show Me The Numbers

Mentioned Links:

📚 Storytelling with Data: https://amzn.to/3n2rDwJ

📚 The Big Book of Dashboards: https://amzn.to/42nBmO4

📚 Envisioning Information: https://amzn.to/3yN8a5z

📚 How Charts Lie: https://amzn.to/3luqQ77

📚 Show Me The Numbers: https://amzn.to/3FxgeuW

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

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

This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy. Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics. What You Will Learn Master the mathematical foundations required for business analytics Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task Use R and Python to develop descriptive models, predictive models, and optimize models Interpret and recommend actions based on analytical model outcomes Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

This is the story of how a math teacher transitioned to become a lead analytics consultant at Wells Fargo

In this episode of The Data Career Podcast, Avery Smith sits down with Courtney Ballard, one of the bootcamp alumna on how she landed data job from teaching.

If you are a Transitioning Teacher looking to explore data, I have a LIVE training to help you on your journey: https://www.datacareerjumpstart.com/teachers

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(1:53) - Why Courtney transitioned to data analytics

(9:54) - Why it's okay to pivot your career

(13:22) - Teachers make great data analysts

(17:44) - How Courtney landed her job

(23:30) - Why data careers are great for teachers

Courtney’s Links: Linkedin: https://www.linkedin.com/in/courtneylballard/

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

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

Let's face it; data analytics can sometimes be a real pain in the spreadsheet.

You spend hours analysing data, writing code, and crafting reports, only to have one mystery bug stop your work from progressing.

I'll show you my 10-step guide for solving ANY data problem.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(2:19) - Step 1: Copy your error message

(3:29) - Step 2: Use Google, Stack Overflow & ChatGPT

(5:28) - Step 3: Double check everything!

(6:58) - Step 4: Rubber Duck it!

(7:58) - Step 5: Read manual & documentation

(9:45) - Step 6: Walk away, just walk.

(14:19) - Step 7: Turn it off!

(12:52) - Step 8: Screenshot & screenrecord it

(15:18) -Step 10: Say thank you!

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

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

📤 In this episode, Avery’s going to walk you through how you can teach yourself SQL for FREE with this awesome 5-step course.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training 🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(0:24) - What is SQL?

(1:08) - Step 1: Download Datasets

(2:03) - What is CSV files?

(2:44) - Step 2: Setup SQL environment with the dataset

(3:37) - Step 3: Learn SQL for free with W3Schools

(4:50) - Step 4: Come up w/ probing questions for your data

(6:09) - Step 5: Write up your findings

(7:00) - Project Write-up Platform

Mentioned Links:

Kaggle: https://www.kaggle.com/datasets

bit.io: https://bit.io/

W3Schools: https://www.w3schools.com/sql/

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

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

In this episode, Avery & Jess dive deep into the world of data careers and discuss tips and tricks to network effectively, switch jobs, and stay focused on your career goals.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(8:01) - Difference between risk analyst & data analyst

(9:56) - Does a math degree help in the data field?

(12:52) - You hate your job. What do you do?

(17:05) - It’s OK to job hop!

(18:07) - The best time to switch job

(20:06) - Not landing job opportunities? Do this!

(22:44) - Learn less. Apply more.

(25:15) - Know your data term to land the job!

Jess Ramos Links:

Linkedin: https://www.linkedin.com/in/jessramosmsba/

Instagram: https://www.instagram.com/jessramosdata/

Linkedin Course: https://www.linkedin.com/learning/preparing-for-your-analytics-job-interview/data-analytics-from-initial-interest-to-job-interview

Practical Advice for Perfecting the Data Resume: https://gumroad.com/a/51884243/vijuf

Connect with Avery:

📺 Subscribe on YouTube: https://www.youtube.com/c/AverySmithDataCareerJumpstart/videos

🎙Listen to My Podcast: https://podcasts.apple.com/us/podcast/data-career-podcast/id1547386535

👔 Connect with me on LinkedIn: https://www.linkedin.com/in/averyjsmith/

📸 Instagram: https://www.instagram.com/datacareerjumpstart/

🎵 TikTok: https://www.tiktok.com/@verydata

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

The demand for data professionals continues to rise, and with this roadmap, you can break into the data field and kick-start your career in 2023.

📊 Come to my next free “How to Land Your First Data Job” training

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(1:07) - Different background, different roadmap

(3:18) - Ultimate roadmap to land your first data job

(4:18) - You need these 3 skills to be marketable in data space

(8:51) - Stop learning. Start applying

(10:52) - Prove your skills by doing portfolio projects

(12:25) - Network is your net worth

(13:38) - This is how you grow your Linkedin network

(16:00) - Do it scared, what’s the worst thing that could happen?

Connect with Avery:

📺 Subscribe on YouTube: https://www.youtube.com/c/AverySmithDataCareerJumpstart/videos

🎙Listen to My Podcast: https://podcasts.apple.com/us/podcast/data-career-podcast/id1547386535

👔 Connect with me on LinkedIn: https://www.linkedin.com/in/averyjsmith/

📸 Instagram: https://www.instagram.com/datacareerjumpstart/

🎵 TikTok: https://www.tiktok.com/@verydata?

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

In order for any data team to move from reactive to proactive and drive revenue for the business, they must make sure the basics are in place and that the team and data culture is mature enough to allow for scalable return on investment.  Without these elements, data teams find themselves unable to make meaningful progress because they are stuck reacting to problems and responding to rudimentary questions from stakeholders across the organization. This quickly takes up bandwidth and keeps them from achieving meaningful ROI. In today’s episode, we have invited Shane Murray to break down how to effectively structure a data team, how data leaders can lead efficient decentralization, and how teams can scale their ROI in 2023. Shane is the Field CTO at Monte Carlo, a data reliability company that created the industry's first end-to-end Data Observability platform. Shane’s career has taken him through a successful 9-year tenure at The New York Times, where he grew the data analytics team from 12 to 150 people and managed all core data products. Shane is an expert when it comes to data observability, enabling effective ROI for data initiatives, scaling high-impact data teams, and more. Throughout the episode we discuss how to structure a data team for maximum efficiency, how data leaders can balance long-term and short-term data initiatives, how data maturity correlates to a team’s forward-thinking ability, data democratization with data insights and reporting ROI, best practices for change management, and much more.

Data engineering and analytics are critical components of a data-driven organization but have different roles and skill sets. Data engineering focuses on the management and manipulation of data. In contrast, data analytics focuses on the interpretation and visualization of data.

Let's start with data engineering. Data engineering involves collecting, processing, storing, and managing large amounts of data. Data engineers design and build data architectures and infrastructure, create pipelines to move data from source systems to storage and processing systems, and ensure data quality and integrity.

This is the story of how a warehouse worker pivoted into a senior data engineer in just 18 months while tripling her salary.   In this episode of The Data Career Podcast, Avery Smith sits down with Kedeisha Bryan on how she landed a data job and tripled her income in only 18 months.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Kedeisha’s Links:

Connect on LinkedIn Join Data in Motion Community

Timestamps:

(9:19) - Why you need a sponsor in your life

(11:21) - You need common ground to network genuinely

(27:02) - Tired of sending job applications? Network instead

(30:16) - Know that this is a long game

Connect with Avery:

📺 Subscribe on YouTube: https://www.youtube.com/c/AverySmithDataCareerJumpstart/videos 🎙Listen to My Podcast: https://podcasts.apple.com/us/podcast/data-career-podcast/id1547386535 👔 Connect with me on LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://www.instagram.com/datacareerjumpstart/ 🎵 TikTok: https://www.tiktok.com/@verydata?

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

Data Wrangling with R guides you through mastering data preparation in the R programming language using tidyverse libraries. You will learn techniques to load, explore, transform, and visualize data effectively, gaining the skills needed for data modeling and insights extraction. What this Book will help me do Understand how to use R and tidyverse libraries to handle data wrangling tasks. Learn methods to work with diverse data types like numbers, strings, and dates. Gain proficiency in building visual representations of data using ggplot2. Build and validate your first predictive model for useful insights. Create an interactive web application with Shiny in R. Author(s) Gustavo Santos is an experienced data scientist specializing in R programming and data visualization. With a background in statistics and several years of professional experience in industry and academia, Gustavo excels at translating complex data analytics concepts into practical skills. His approach to teaching is hands-on and example-driven, aiming to empower readers to excel in real-world applications. Who is it for? If you are a data scientist, data analyst, or even a beginner programmer who wants to enhance their data manipulation and visualization skills, this book is perfect for you. Familiarity with R or a general understanding of programming concepts is suggested but not mandatory. It caters to professionals looking to refine their data wrangling workflow and to students aspiring to break into data-centered fields. By the end, you'll be ready to apply data wrangling and visualization tools in your projects.

Stephen shared his incredible journey from tech support to a successful data analyst in only 3 months! Learn the key skills & strategies that helped him make the transition. 📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(10:16) Your personalized project is critical to landing a data job (11:23) You're missing out if you don't use the filter feature (14:17) Get your mentor and fix your resume! (17:29) It's hard to help you if you don't have a portfolio (23:33) Don't be afraid of the job ads requirement (36:15) Luck favors those who are prepared

Stephen’s Links: 

Connect on Linkedin: https://www.linkedin.com/in/stephentran96/

Connect with Avery:

📺 Subscribe on YouTube: https://www.youtube.com/c/AverySmithDataCareerJumpstart/videos🎙Listen to My Podcast: https://podcasts.apple.com/us/podcast/data-career-podcast/id1547386535👔 Connect with me on LinkedIn: https://www.linkedin.com/in/averyjsmith/📸 Instagram: https://www.instagram.com/datacareerjumpstart/🎵 TikTok: https://www.tiktok.com/@verydata? 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