How to do data analytics?

  • How to do data analytics?

  • Adiraj Nandre

    Member
    May 30, 2025 at 4:07 am

    Here’s a step-by-step tutorial on how to do data analytics, even if you’re a starter:

    ✅ Step-by-Step: How to Do Data Analytics

    1. Define the Problem or Goal

    Ask:

    What decision do I want to make?

    What do I want to know or optimize?

    Example: Why are product sales decreasing in Q2?

    2. Get the Data

    Get data from sources such as:

    Spreadsheets (Excel, Google Sheets)

    Databases (SQL, MongoDB)

    APIs, Web scraping

    Business tools (CRM, Google Analytics)

    Example: Download customer feedback and monthly sales data.

    3. Clean and Prepare the Data

    Correct issues such as:

    Missing values

    Unstandardized formats

    Duplicate records

    Tools: Excel, Python (Pandas), R, Power Query

    Example: Remove blank cells and standardize date formats.

    Get to know the data by examining:

    Summary statistics (mode, median, mean)

    Trends and distributions

    Correlations and outliers

    Tools: Excel, Python (Matplotlib, Seaborn), Power BI, Tableau

    5. Analyze the Data

    Use:

    Descriptive analytics to know what occurred

    Diagnostic analytics to discover why

    Predictive analytics to predict

    Prescriptive analytics to suggest actions

    Techniques: A/B testing, regression, clustering, trend analysis

    Tools: Excel, Python, R, SQL, SPSS, SAS

    Example: Perform a regression model to determine what drives sales.

    6. Visualize the Results

    Develop charts, dashboards, or reports to convey findings elegantly.

    Example: A bar chart comparing quarterly sales by region.

    7. Interpret & Act

    What story does the data tell?

    What action should be taken?

    How will results be measured?

    Example: Recommend increasing ad spend in regions with high potential.

    Tools You Can Use

    Excel/Google Sheets – good for beginners

    SQL – for querying databases

    Python or R – for advanced analysis

    Power BI / Tableau – for dashboards and visuals

    Tip:

    Start small! Practice with simple data (e.g., personal budget, survey responses) before tackling business or large data projects.

    Would you like a beginner’s roadmap, cheat sheet, or tutorial to get hands-on with your first project?

    https://www.sevenmentor.com/data-analytics-courses-in-pune.php

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