Starting a Career in Data Science (10 Thing I Wish I Knew…)

Download Intro to Python ebook (FREE) here 👉🏼 https://clickhubspot.com/cw0

In this video, we are diving into 10 mistakes and traps to avoid when learning data science and analytics. Do any of these resonate with you? Share in comments 👇🏽

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# Watch this Next
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🌍 ALL COURSES 👉🏼 https://kit.co/SundasKhalid

# Data Scientist
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🏅 Data Engineer Certificate 👉🏼 http://datacamp.pxf.io/DE
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⚡ IBM Data Engineer 👉🏼 http://imp.i384100.net/data-engineer

# Python
🐍 Python for Everybody 👉🏼 https://imp.i384100.net/PythonSpec
⚡ Intro to Python I 👉🏼 https://datacamp.pxf.io/Python_1
💻 Intro to Python II 👉🏼 https://datacamp.pxf.io/PythonII
🤖 Python for Machine Learning 👉🏼 https://datacamp.pxf.io/ML101

# SQL
✨ SQL 101 👉🏼 https://datacamp.pxf.io/SQL101
⚡ SQL Basics for Data Science 👉🏼 https://imp.i384100.net/SQLforDS
📊 SQL Associate Certificate 👉🏼 http://datacamp.pxf.io/SQL-cert
🏅 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
⚙️ Intro to Stats for Data Science 👉🏼 https://datacamp.pxf.io/Stats101
📑 Intro to Statistics 👉🏼 https://imp.i384100.net/Stats

# EXCEL
🎨 Excel for Data Analysis 👉🏼 https://imp.i384100.net/Excel
✍️ Excel 101 👉🏼 https://datacamp.pxf.io/Excel101

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0:00 intro
0:27 mistake 1
1:44 mistake 2
3:22 mistake 3
4:18 mistake 4
6:08 mistake 5
7:17 mistake 6
7:55 mistake 7
8:52 mistake 9
9:28 mistake 10

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