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Analytics Everywhere

Your one-stop destination to become a Data Analyst — free tutorials on Power BI, SQL, Excel & Python

Learn data analytics, data analysis, SQL for beginners, Power BI dashboards, Python for data science, Excel tutorials and data analyst interview prep — all for free.

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ABOUT

Hi, I’m Shubhrajit Basu

A Business Data Analyst with 10+ years of experience in Power BI, SQL, Excel, Python, Data Analysis and Data Science. I help aspiring data analysts break into the field with step-by-step tutorials, dashboards, interview prep and real career tips.

Whether you’re searching for how to become a data analyst, free SQL tutorials, Power BI for beginners, or Python for data analysis — you’re in the right place.

⚡ Power BI 🗄️ SQL 📊 Excel 🐍 Python 📈 Data Analysis 🔬 Data Science
TOPICS COVERED

Everything You Need to Become a Data Analyst

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Power BI

Dashboards, DAX, data modeling, reports — Power BI from beginner to advanced

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SQL

SQL for beginners, joins, window functions, database queries and SQL interview prep

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Excel

Excel for data analysis, VLOOKUP, pivot tables, Power Query and dashboards

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Python

Python for data analysis, Pandas, NumPy, Matplotlib and data science projects

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Career Tips

Data analyst resume, interview questions, salary guide and how to get hired

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Practice

40+ real interview-style questions on SQL, Excel, Power BI and Python

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FAQ

Frequently Asked Questions

Start by learning the four core skills: Excel, SQL, Python or Power BI, and data visualization. Follow a structured roadmap — I recommend my free 90-day plan on the Learning page. Build real projects, practice with interview questions on the Practice platform, and apply for jobs once you have 3-5 portfolio projects.
Data analytics focuses on analyzing existing data to answer business questions and make decisions. Data science goes further — it includes building predictive models, machine learning, and AI. As a data analyst, you’ll primarily use SQL, Excel, Python and Power BI. Data scientists additionally use ML frameworks like Scikit-learn and TensorFlow.
Yes — SQL is the single most important skill for any data analyst. Almost every data analyst job requires SQL. It is used to query databases, extract data, and perform analysis. Start with SELECT, WHERE, GROUP BY and JOINs. My free SQL tutorials and SQL practice questions will get you job-ready fast.
Both! Excel is perfect for quick analysis, dashboards and reporting — every analyst needs it. Python (with Pandas and Matplotlib) is better for large datasets, automation and advanced analysis. Learn Excel first, then add Python. Together they make you extremely powerful as a data analyst.
You can build your first Power BI dashboard in a single day! To become proficient — building reports, writing DAX, and data modeling — expect 4-8 weeks of consistent practice. My free Power BI tutorials on the Learning page take you from zero to dashboard in under an hour.

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