🔥 Top 5 Data Science Certifications 2024 | 5 Best Data Science Certifications For 2024 |Simplilearn

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This video on Top Data Science Certifications For 2024 will acquaint you with information about the top 5 certifications that can assist you to excel in your career. In this 5 best data science certifications for 2024 you will go through a few highest-paying certifications. These IT certifications can enable you to earn 5% to 10% more than your peers. So, let's dive into the discussion!

Below are the topics covered in this 5 best Data Science Certifications 2024
00:00 Top 5 Data Science Certifications 2024
02:02 introduction to data science
02:53 PGP in Data Science Purdue University
04:14 PCP in Data Science IIT Kanpur
05:34 Data Science Bootcamp
06:54 Data Science Master's Program
08:20 Caltech PGP in Data Science

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➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization


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