Data Science Vs Data Analyst In 2024 | Skills, Career, Salary Comparision | Simplilearn

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🔥 IIT Kanpur Professional Certificate Course In Data Science (India Only): www.simplilear...
🔥 Caltech Post Graduate Program In Data Science: www.simplilear...
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Are you curious about the differences between Data Science and Data Analytics? In this video, we delve deep into the distinct roles, skills, and applications of these two exciting fields. We start by defining what Data Science and Data Analytics are, and then move on to compare their key aspects. You'll learn about the tools and techniques used in each field, the types of problems they solve, and the typical career paths for professionals in each domain. Throughout the video, we provide real-world examples to illustrate how Data Scientists and Data Analysts contribute to their organizations. From predictive modeling and machine learning in Data Science to statistical analysis and data visualization in Data Analytics, we cover it all.
00:00 - Introduction to Data Analytics V/s Data Science
03:08 - Data Analytics V/s Data Science
04:53 - Comparing Data Science V/s Data Analytics
06:08 - Skill Set Comparison
06:48 - Workflow Comparison
08:42 - Tools and Techniques
10:13 - Application Comparison
11:32 - Carrer Path Comparison
You can also go through the slides here: www.slideshare...
✅What is the main difference between Data Science and Data Analytics?
Data Science focuses on creating new models and algorithms to predict future trends and drive innovation, while Data Analytics focuses on interpreting existing data to solve current problems and provide actionable insights.
✅What tools are commonly used in Data Science?
Common tools in Data Science include Python, R, Hadoop, Apache Spark, and TensorFlow for tasks such as data manipulation, machine learning, and AI.
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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
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🔥 Post Graduate Program In Data Analytics: www.simplilearn.com/pgp-data-analytics-certification-training-course?July2024DataSciencevsDataAnalyst&Comments&
🔥 Data Analyst Masters Program : l.linklyhq.com/l/1yhwh
🔥 IIT Kanpur Professional Certificate Course In Data Science (India Only): www.simplilearn.com/iitk-professional-certificate-course-data-science?July2024DataSciencevsDataAnalyst&Comments&
🔥 Caltech Post Graduate Program In Data Science: www.simplilearn.com/post-graduate-program-data-science?July2024DataSciencevsDataAnalyst&Comments&
🔥 Data Scientist Masters Program : l.linklyhq.com/l/1yhww

Got a Question on this topic? Let us know in the comment section below 👇 and we'll have our experts answer it for you.

[@jimdranidrileba1052]

Love the clarity

[@SimplilearnOfficial]

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[@VivekDoye]

Best teachers in simplilearn

[@SimplilearnOfficial]

Thanks for your kind words!

[@shruthir7699]

I'm a teacher BSc BEd looking to either change to tech career ot upscale myself in edu sector.
Which course should I take Data Analytics or Data Science??

[@SimplilearnOfficial]

Thank you for reaching out with your question! Both Data Analytics and Data Science can offer valuable skills, but the right choice depends on your career goals and interests. Data Analytics focuses more on analyzing and visualizing data to help make business decisions. It's ideal if you're looking to add data skills to your teaching portfolio or if you're interested in roles that require decision support and insight from data.
On the other hand, Data Science includes these aspects but also involves more complex techniques such as machine learning and predictive modeling. It's suitable if you're considering a more technical career shift into tech that involves building data models and deeper data manipulation.
Given your background in education, Data Analytics might be a smoother transition and can be highly applicable within educational institutions to analyze student performance, educational trends, etc. However, if you're drawn to a more technical role, Data Science could be the exciting challenge you're looking for.
Both fields offer great opportunities for professional growth and are in high demand. I recommend checking out the course descriptions linked in the description box below to see which aligns best with your interests. And remember, we’re here to help you through your learning journey!