How_to_Grow_as_a_Data_Scientist

Here are some tips to help you grow in your career as a data scientist.

Transcript

1. Uyo Ini-Abasi Affiah ML Engineer How To Grow As A Data Scientist
2. Outline 1. Intro to Data Science 2. Five tips on how to grow as a data scientist
3. What is Data Science?
4. “Data science is the discipline of making data useful.” - Cassie Kozyrkov
5. What is Data Science? “Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.” – IBM
6. How to grow as a data scientist
7. 1. Seek challenges • Work on new projects, • Participate in competitions (Kaggle, Zindi, DataCamp)
8. 2. Create technical data science content • Write Articles • Teach Others • Create videos
9. 3. Get professional certifications
10. Some Certifications You Can Get 1. IBM Data Science Professional Certification 2. Google Data Analytics Professional Certification 3. IBM Data Analyst Professional Certification 4. TensorFlow Developer Certification 5. AWS Certified Machine Learning — Specialty 6. Google Professional Machine Learning Engineer 7. HarvardX’s Data Science Professional Certificate 8. Microsoft Certified: Azure Data Scientist Associate 9. SAS Certified Data Scientist
11. 4. Gain domain knowledge
12. 5. Bridge the gaps in your skills
13. Conclusion 1. Seek Challenges 2. Create technical content about data science 3. Get professional certifications 4. Gain domain knowledge 5. Bridge the gap in your skills Others 6. Read data science books 7. Listen to data science podcasts 8. Follow experts on social media 9. Learn how to learn 10. Ask questions
14. Thank You for Listening!!! Please Subscribe to my YouTube Channel Team TechDom
18. Image Source: DataScienceDojo
19. Some People You Can Follow • Santiago @svpino • Andrew Ng @AndrewYNg • Chip Huyen @chipro • Cassie Kozyrkov @quaesita • Sara Hooker @sarahookr • Dean Abbott @deanabb • Ken Jee @KenJee_DS • Jeff Leek @jtleek • Bernard Marr @BernardMarr • Fei-Fei Li @drfeifei • Sebastian Thrun @SebastianThrun • Alex Freberg @Alex_TheAnalyst • Kenneth Cukier @kncukier • Data Community by Lillian @Strategy_Gal
20. Tools Used By Data Scientists
21. Tools Used By Data Scientists Data Analyst 1. SQL 2. Spreadsheet (MS Excel/Google Sheets) 3. Tableau/PowerBI 4. Python/R, etc. Data Scientist 1. SQL 2. Python (Pandas, Matplotlib) 3. R (ggplot2, dplyr, readr) 4. Scikit-Learn 5. TensorFlow/PyTorch 6. Jupyter Notebook (Anaconda) 7. Hadoop 8. Git, etc.