The Harsh Reality of Being a Data Engineer

Описание к видео The Harsh Reality of Being a Data Engineer

Download Python ebook (free) 👉🏼 https://clickhubspot.com/bbd

In this video, we are discussing the harsh reality of being a data engineer, the good, the bad and the ugly. Wait till the end of the video and share your thoughts in comments. Anything surprising to you?

Learn more about AWS Startups GenAI Day - Watch the GenAI Webinar on-demand 👉🏼 https://rmbrnd.com/AWS-GenAI
Virtual product placement by Rembrand 👉🏼 https://www.rembrand.com

WATCH THESE VIDEOS NEXT
My Self-Taught Data Science Journey:    • My Data Science Journey with Non-Tech...  
How I Would Learn Data Science in 2023:    • How I Would Learn Data Science in 202...  
Harsh Reality of Being a Data Scientist?    • The Harsh Reality of Being a Data Sci...  

Try AI for coding & data analysis:
🏅 Julius AI for data analysis 👉🏼 https://julius.ai/?via=Sundas

~~~ CERTIFICATES & COURSES ~~~

Data Scientist

📊 Data Science Certificate 👉🏼 https://imp.i384100.net/DataScienceCert
🏅 Data Science Bootcamp 👉🏼 https://bit.ly/data-scientist-bootcamp
🌍 Data Scientist Bootcamp 👉🏼 https://bit.ly/data-scientist-bootcamp

Data Analyst

🏅 Google Data Analytics Certificate 👉🏼 https://imp.i384100.net/GoogleDataCert
🏅🏅 Google Advanced Data Analytics Certificate 👉🏼 https://imp.i384100.net/advanced-data...
⚡ IBM Data Analytics Certificate 👉🏼 https://imp.i384100.net/ibm-data-analyst
📊 Microsoft BI Data Analyst Certificate 👉🏼 https://imp.i384100.net/msft-dataanalyst
📑 Cyber Security Analyst 👉🏼 http://imp.i384100.net/cybersecurity
🐍 Meta Marketing Analytics Certificate 👉🏼 http://imp.i384100.net/meta-analytics

Data Engineer

📊 Meta Data Engineer Certificate 👉🏼 http://imp.i384100.net/meta-dataengineer
⚡ IBM Data Engineer 👉🏼 http://imp.i384100.net/data-engineer

Python

🐍 Python for Everybody 👉🏼 https://imp.i384100.net/PythonSpec
⚡ Python for Data Science 👉🏼 https://bit.ly/python-data-science-ml
📑 Python for Data Visualization 👉🏼 https://bit.ly/python-data-viz
🏅 Python Pandas 👉🏼 https://bit.ly/python-pandas-data-ana...

SQL

⚡ SQL Basics for Data Science 👉🏼 https://imp.i384100.net/SQLforDS
🏅 SQL Bootcamp 👉🏼 https://bit.ly/sql-bootcamps

Machine Learning

🏅 Machine Learning Bootcamp 👉🏼 https://bit.ly/machine-learning-atoz
⚙️ Machine Learning Specialization 👉🏼 https://imp.i384100.net/ML
⚡ Deep Learning 👉🏼 https://imp.i384100.net/deeplearning
⚙️ AI Engineer Certificate https://imp.i384100.net/AI

Statistics

⚙️ Statistics for Data Analysis 👉🏼 https://bit.ly/statistics-data-scienc
📑 Intro to Statistics 👉🏼 https://imp.i384100.net/Stats

EXCEL

🎨 Excel for Data Analysis 👉🏼 https://imp.i384100.net/Excel
✍️ IBM Data Analysis in Excel & R Certificate 👉🏼 https://bit.ly/data-scientist-bootcamp

🌍 ALL COURSES 👉🏼 https://kit.co/SundasKhalid
🏅 Practice Coding Interviews 👉🏼 https://www.stratascratch.com/?via=su...

~~~~~~~~~~~~~~~~~~~~~~~~~~~

MY FAVORITE TOOLS
📚 Read Books FAST on Shortform 👉🏼 https://www.shortform.com/sundas
✍️ Coursera Plus 7 day free trial 👉🏼 https://imp.i384100.net/CourseraPlus
🏅 Practice Coding Interviews 👉🏼 https://www.stratascratch.com/?via=su...
🏅 Julius AI for data analysis 👉🏼 https://julius.ai/?via=Sundas
✍️ Get 20% HubSpot Discount 👉🏼 https://hubspot.sjv.io/c/3311887/1863...

SUBSCRIBE FOR MORE VIDEOS
https://www.youtube.com/sundaskhalid?...

BINGE THESE PLAYLISTS NEXT
Starting in Data Science:    • Starting in Data Science  
Learn SQL:    • Learn SQL  
The Tech Lounge:    • The Tech Lounge  

ABOUT ME
I'm Sundas. I'm a self-taught data scientist from a non-tech background, currently at a FAANG company. I have been in the industry for +10 years spread across two big tech companies. On this channel, I share tips for people interested in entering data science with the goal to democratize knowledge and make complicated topics digestible for everyone. Learn more at https://sundaskhalid.com All opinions are mine!

PS. Some of the links included are affiliate links and help me keep this channel going. Thanks for the support.

Business inquiries: [email protected]

Комментарии

Информация по комментариям в разработке