Data Career Jumpstart

🚀 Helping professionals break into data science 

Data Career Jumpstart is an online, data science school designed to teach you data science by doing practical, personal projects, enabling you to build an online portfolio that blows recruiters minds 🤯

Data Scientist

Data Analyst

Check this out at Data Career Podcast wherever you listen to podcasts!

Podcast Host

MIT Professional Education

Data Engineer

Snow Data Science

⛰️ Snow Data Science is an analytics firm that provides data solutions

📫 Send me a DM if you’d like to learn more about our services

We offer the following services:
▪️ Machine Learning 
▪️ Data Visualization
▪️ Algorithm Development
▪️ Data Sourcing
▪️ Data Cleaning
▪️ Dashboard / Web App

ExxonMobil

- Developed tool to make automated, data-driven decisions to improve capital planning ($330M/year)
- Created enterprise-wide web application via cloud computing to democratize manufacturing data to all engineers 
- Lead US wide analytics interest network of 200+ providing advice, expertise, and training
- Modeled complex supply chain processes that include 3,000+ variables to provide economic clarity via predictive analytics
- 3x company-wide data analytics competition champion that included 100+ participants

Vaporsens

- Implemented machine learning and advanced algorithms to identify and quantify unknown chemicals
- Solely responsible for all analytics in startup company
- Generated 30% revenue growth through convincing data visualizations and customer relations
- Performed and presented data analysis to Fortune 500 companies to secure collaborations

University of Utah College of Engineering

- Published first-author paper in International Federation of Automatic Control’s special issue Intelligent Manufacturing Systems (see link to read paper)
- Created new algorithm for clustering sensor data with over 1 million data points
- Constructed novel process to perform outlier detection in large industrial systems utilizing machine learning

Big Data Researcher

🖥️       Developed tool in Python to make automated, data-driven decisions to improve capital infrastructure planning and spending, providing an estimated savings of $330,000,000/year
🧮        Investigated complex mathematical refinery models to ensure accuracy in making crude oil acquisitions

Optimization Engineer

Machine learning and statistical data analysis 
-	Understanding of complex statistical strategies and strong critical thinking methods. 
-	Innovation and implementation of advanced algorithms for chemical sensing system to identify and quantify unknown chemicals applying machine learning and data analysis tools and methods.  
-	Programmed own data analysis pipeline and edited and updated chemometrics package from past chemomitrican to perform key calculations and capture vital data. 
-	Development of unique chemical fingerprints and chemical library. 
-	Assistance to engineering side through microcontroller production and coding for flow measurement and device communication used in future commercial products.

💽   Built bio-chemical organic semiconductor sensors 
☠️  Handled dozens of narcotics and explosives 
🧐  Lead quality assurance initiative to ensure $60k in product worked properly
🧬   Conducted 100's of complex experiments

R&D Engineer

University of Utah College of Science

☺️   Worked for free, part-time for 3 months. I owe everything good in my life to those 3 months.
🌎  Conducted scientific experiments for Doctor Sohn’s Iron Novel Development Lab
🔬  Used ICP-MS to analyze chemical samples for purity
📉   Performed data analysis in Excel to ensure high quality

I worked for free, part-time for 3 months. I owe everything good in my life to those 3 months.

Laboratory Assistant

I help people land their first data job within 90 days

Hey! I'm Avery! 👋🏻   My mission is to help working professionals break into data science. Let's connect!

🚀 Creator of Data Career Jumpstart; the data bootcamp that helps you start your data career by building an online portfolio full of projects!
Course includes: 
1) Data Skills (Python, R, SQL, Data Viz, ect)
2) How To Do Projects & Build A Data Portfolio 
3) How To Build Your Personal Brand 
4) How To Land Your Dream Job That Is Remote, High-Paying, and Fun 👩‍💻👨‍💻

📧  Sign Up To Get Updates: DataCareerJumpstart.com!

⛰ Running an analytics firm called Snow Data Science where we take on all sorts of data projects. From building custom dashboards, to predictions via machine learning, we are helping organizations utilize the power of their data. Have a project in mind? Send me a DM. Or visit, SnowDataScience.org. 

🏀   Landed a project with the Utah Jazz via LinkedIn post

⛽   Ex-ExxonMobil Data Scientist: solved complex supply chain problems, made beautiful data visuals, and taught data science to 300+ engineers! 2x company wide analytics champion. 

🔬 I fell in love with data at Vaporsens. I was hooked on finding meaning and insight from their chemical sensor data. The feeling was addicting. I felt like a super hero. I've never looked back.

📕 First author published as undergrad in IFAC. Novel research on anomaly detection in manufacturing data using machine learning. Feel free to read: https://www.sciencedirect.com/science/article/pii/S2405896319309073

📊 I am obsessed with data. Don't believe me? My dog has her own fitbit 🐶 My iPhone app usage has a dashboard 📱 My Chick-Fil-A visits are already predicted for next month 🐥  I run, breath, and sleep data 📊 What more proof can I give? 🤪

💬 Message me to talk about: How to break into data science, how to build a data science portfolio, and how to build a personal brand. 

Find me on:
🌐  DataCareerJumpstart.com
💻  GitHub: https://github.com/AveryData
🎥  YouTube: AVery Data
📷 Instagram: https://www.instagram.com/datacareerjumpstart/
✏️  Medium: https://medium.com/@averyjs
🎉 TikTok: @verydata

📧  Sign Up To Get Updates On My Latest Course: DataCareerJumpstart.com!

Learn Data Analytics here: Elijah Butler 📊
Learn Data Science here: Dawn Choo
Learn Data Engineering here: Zach Wilson
Learn Data Contracts here: 🎯 Mark Freeman II
Learn Data Visualization here: Annie Nelson
Learn Data Storytelling here: Brent Dykes
Learn Statistics here: Joshua Starmer PhD
Learn Data Interviews here: Nick Singh 📕🐒
Learn Data Governance here: George Firican
Learn Data Strategy here: Vin Vashishta
Learn Data Freelancing here: Benjamin Rogojan
Learn Business Intelligence here: Alex Freberg
Learn Python here: Luke Barousse
Learn Salary Negotiation here: Sundas Khalid
Learn Artificial Intelligence here: Harpreet Sahota 🥑


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Avery Smith

The Big 3: SQL, BI Tool, Excel. 

These are the only 3 things I think you should focus on when trying to land your first data job?

Why? They're the best bang for your buck. 

Within a few weeks you'll be able to:

- upload data
- explore data
- clean data
- visualize data
- analyze data
- query data

Don't spread yourself thin learning 937 new tools at once.

Start with the big 3. 

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You're STILL a data analyst even if...

- you only use Excel
- you forgot the SQL syntax
- you bombed the big interview
- you don't know how to program
- you did an analysis completely wrong
- you can't remember the right function name
- you have to Google how to do something easy you've done before

You're NOT a data analyst when...
- you give up 

SO DON'T GIVE UP! KEEP GOING!

If you're in a career transition & make less than $100k, I truly think aiming for a data scientist role is the wrong choice.

Not because Data Scientist < Data Analyst. But because the bar is just so much lower to become a Data Analyst.

Data Analyst roles have:
- less math
- less statistics
- less programming
- more openings

My advice? Become an analyst first.

Keep the goal of becoming a scientist. But do it on the company's dime & time ✌

If you've EVER analyzed ANY data, at any point, in any circumstance, you can call yourself a data analyst.

❌ Drop the "enthusiast"
❌ Get rid of the "aspiring"

There is 0 need to describe what type of data analyst you are. Let other people decide for themselves.

If you want until you've "mastered" Excel, SQL, Tableau, Power BI, Python, and R before applying to data jobs, this will be an actual picture of you!

☠ It's IMPOSSIBLE to master all the tech skills.

Instead, focus on Progress > Perfection. You don't have to be perfect. It's okay to not know it all. In fact, it's expected. 

So apply today instead!

My data analyst strategy for you 👇

- Learn 1 new data thing / day 
- Do 1 analytics project / month
- Read 10 pages of a data book / day
- Interact with 2 LinkedIn posts /day
- Post learnings on LinkedIn 3x /week

👉 Do this for 3 months and watch what happens




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If I ever need a data set, Kaggle is my first stop. But here's 12 FREE sites that'll help you find great data sets:

1. Amazon Data Exchange
2. Google Data Set Search
3. Data World
4. FiveThirtyEight
5. Academic Data Set Search 
6. Awesome Data Sets
7. Tableau Data Sets
8. r/datasets
9. UCI Data Sets
10. US Data Sets
11. NASA Data Sets
12. KDnuggests Dataset List

✌ No excuses! Go find a cool data set!


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It feels overwhelming to see all the super-qualified people applying to entry-level data analyst job postings. Especially when you don't have a TECH background. But here's a story that should give you career-pivoter's hope 👇

🌄I was hiking last week with a data hiring manager and he explained how he hired his last entry-level position. 

He didn't actually hire the person with the most data experience. 

He hired the person with medium data skills, but a strong domain background. 

He said, "I can teach them the data stuff, but teaching them about the domain would take years"

👉 So apply to data jobs within your domain:

Teacher? Apply to education data jobs.
Accountant? Apply to financial data jobs.
Physical Therapist? Apply to health data jobs. 

I promise you've got this! Don't give up.

I didn’t get land a job with Amazon because I …

❌ Had a 4.0
❌ Went Ivy League
❌ Knew a hiring manager

I got into Amazon because …

Well, actually, never got into Amazon....

And you might not either...

And that's okay....

I asked a Business Analyst with no Bachelor's Degree & no prior experience how he landed his first data job. Here are the 8 things he mentioned 👇

1. Skills > Certs
2. Don’t give up
3. Stay consistent
4. Save Python for later
5. Have skin in the game
6. Post on LinkedIn 3x / week
7. Optimize your LinkedIn profile
8. Write reports for your projects
9. Don’t get too down on yourself

His prior background?
👨‍🍳 Pizza Cook
🖨 Printer Technician
👨‍🔧 Construction Worker

Now?
🐕‍🦺 100% Remote Business Analyst for VetTech Company

Trevor Maxwell's story is nothing short of amazing and I think you should hear the whole thing! The good news is I just recorded a full 40 minute interview with Trevor talking about his journey.

It will inspire you & give you some useful tips on the data career journey!

🎧 Open up Apple, Spotify, or YouTube & queue it up to listen on your drive home tonight!

If you're trying to land your first data analyst job, I don't think you should learn Python.

Don't get me wrong, I love Python; it's my favorite data tool.

But when you're breaking in, it's just too steep of a learning curve. 

Here's what I think you should learn instead:
1. Excel
2. Tableau
3. SQL

That combo is usually enough to land your first job. And honestly, your work will probably pay you to learn Python on the job eventually.

So skip Python to start, okay?

Sincerely,

A big (but honest) Python fan,

Avery Smith

some advice for beginners getting into data analytics:

- avoid Python till later
- build projects 
- learn SQL
- visualize your data asap
- pick tableau or power bi & stick to it
- realize your thought process > skills
- the certs don't really carry that much weight

what else would you add? 👇

In Data Viz, less is often more.

75% of the time, a simple bar chart works wonders ✨

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🎧 Listen to learn more about Data Viz: https://vist.ly/3ctze

Your job as a data analyst is to solve business problems with data, not make pretty dashboards 🤷‍♂️

“I currently work as a lead data analyst at BCBS of South Carolina and it was not easy to get that as a fresher. It was a journey filled with challenges, sleepless nights, and persistent hurdles after 1300 rejections.

My family is my biggest support. Without their support and guidance, I wouldn’t be in this position in the United States, or even in the country itself. When I told my parents about my career goal to pursue Masters in the United States, they didn’t hesitate to send me from India. The only thing that was worrying all of us was that I had to leave my family and we would be thousands of miles away.

Also, we had to take a loan of 60k$ for my master’s fee and my expenses by putting our only house as collateral. Each time an opportunity arose even if it cost a ton, they would say, "𝐈𝐟 𝐲𝐨𝐮 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐢𝐭'𝐬 𝐮𝐬𝐞𝐟𝐮𝐥, 𝐠𝐨 𝐟𝐨𝐫 𝐢𝐭." They've always prioritized the dreams and aspirations of both me and my sister.

Searching for a job with no prior work experience was the toughest part of my life. Many of us would have felt exhausted, depressed, and ready to give up after numerous rejections. I was no different. But my parents kept me strong, and motivated and believed in me.

Recognizing my initial errors, I invested in professional mentorship, which transformed my job search. Two months later, I was able to get a job as a Lead Data Analyst.

A special mention goes to my professors. Their doors were always open whenever I needed guidance. They offered me invaluable opportunities to collaborate on projects, courses, and volunteer work and their insights and advice were pivotal during my job search.

Understanding the value of mentorship, I began mentoring others from what I know. Over the past ten months, I’ve had more than 900 calls and created content on data analytics and job search. Every call taught me something new and every journey is unique.

During the same time, I was also featured on 𝐓𝐢𝐦𝐞𝐬 𝐒𝐪𝐮𝐚𝐫𝐞, 𝐅𝐨𝐱, 𝐍𝐁𝐂, and 20 other articles. I was on a lot of podcasts and organized events, webinars, and competitions, engaging over 10K participants. A lot of people have supported and guided me during this period, I can’t them enough!!

To everyone who's reading this, Never give up! Keep applying and networking. Remember, we need just one job, not hundreds. Take your time to apply and network effectively.

To my family (𝐈 𝐌𝐢𝐬𝐬 𝐲𝐨𝐮 𝐚𝐥𝐥), friends, and everyone who has walked this journey with me, I am eternally grateful. Your unwavering belief in me has shaped my journey, and I dedicate this to you.”

This weeks guest on the Data Career Podcast: Venkata Naga Sai Kumar Bysani 👇

Follow him & listen to the episode wherever you find your podcasts.

Data Analyst A: 
- easy applies to a job on LinkedIn

Data Analyst B:
- applies to the same job
- tailors their resume to the JD
- sends a cold message to the recruiter
- sends a cold message to a peer at the company
- sends another cold message (just in case)
- shares a relevant project
- sends a follow up message

👇 Who is more likely to get the job? A or B?

The unfortunate truth is that even entry-level jobs require 2-3 years of experience. Here's how you get around it 👇

⭐ Focus on what experience you do have 

If you're changing careers, you obviously have some experience in something. Leverage that! Chances are, you can be a data analyst in your previous industry. It just takes some research & networking to figure out.

If you have 0 prior experience, create your own experience.

🔨 Building projects is an excellent way to get started.


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How to kill your data career before it even begins:

- be a perfectionist

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