How To Get A Data Analyst Job With No Experience In 2024| How To Become A Data Analyst | Simplilearn

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This "How To Get A Data Analyst Job With No Experience In 2024" video by Simplilearn is created to provide you with a Complete Data Analyst Roadmap that you would need to become a data analyst in 2024 without experience. This in-depth video provides you with a detailed path of how you can prepare yourself to become a Data Analyst. Data Analysis is an ever-growing field which is very high in demand in all fields like IT, FinTech, E-commerce, Travel, Tech etc. With the advent of so many new AI tools and ML Applications, the demand for Data Analysts will grow even further.

00:00 How To Get A Data Analyst Job With No Experience In 2024
00:55 What Is Data Analytics?
02:39 What does data analyst do?
03:04 Roles & Responsibilities of data Analyst
03:30 Steps to become a data analyst
03:56 Master the basics
07:21 Personal Projects
08:16 get Certified
08:56 Build A portfolio
09:36 Networking & Mentorship
09:56 Internship
10:26 Prepare for interviews

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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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