Complete Data Analyst Roadmap 2025 | How To Become A Data Analayst In 2025 | Simplilearn

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In this video, we'll take you through the Data Analyst Roadmap 2025 — How to Become a Data Analyst. The data analytics industry is growing rapidly, and by 2025, data analysts will be in high demand. With the global data analytics market expected to reach over $650 billion by 2029, this is the perfect time to get into the field. In this easy-to-follow guide, we will cover everything you need to know to become a successful data analyst.

You’ll learn about the key skills you need, such as Excel, SQL, Python, and statistics, which are essential for analyzing data. We’ll also introduce you to the tools you'll need to master, like Tableau, Power BI, and machine learning basics. Through hands-on real-world projects, you'll gain practical experience, building your portfolio along the way. We’ll break down salary expectations for data analysts at different career levels and offer tips on how to increase your earning potential.

00:00 - Introduction to Data Analytics in 2025
01:34 - FAQ Section
03:26 - What is Data Analytics
04:38 - Master Excel and basic Stats
05:45 - Learn SQL
06:26 - Pick your programming language
06:58 - Collect and clean data
07:44 - Analyze Data and Visualize
08:30 - Learn Machine Learning Basics
09:12 - Big Data and Cloud
09:38 - Build Real world projects and portfolio
10:09 - Keep learning and network
11:16 - Free Resources

Is data analysis a good career choice?
Absolutely! Every company today runs on technology, and technology produces data. Analyzing this data helps companies make smart decisions, innovate, and plan for the future. As more organizations rely on data-driven decision-making, the demand for data analysts keeps growing. It’s a career that’s challenging, rewarding, and constantly evolving — especially with new AI tools and visualization techniques coming in.

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#DataAnalystRoadmap #DataAnalyst #DataAnalytics #DataAnalysis #simplilearn #2025

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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

Learning Path
✅ Induction Session for Purdue Data Analytics Program
✅ PG DA - Business Analytics with Excel
✅ PG DA - SQL
✅ PG DA - Programming foundation and Data Analytics with Python
✅ PG DA - R programming for Data Science
✅ PG DA - Data Analytics with R
✅ PG DA - Tableau Training
✅ PG DA - Data Analytics Capstone
Electives:
✅ PL-300 Microsoft Power BI Certification Training
✅ Academic Masterclass by Purdue University Online
✅ Industry Master Class – Data Analytics
✅ Generative AI Masterclass

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