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Data Analyst

Data analyst

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Last updated: Nov 06, 2025
Level Expert
Language Telugu
Enrolments No enrolled students
Views 57

About This Course

This course is designed for beginner to expert level with the tools to like SQL. Python, Power BI, Tableau and Excel with real-world projects, students will gain hands-on experience in transforming raw data into actionable insights.

What you'll learn

  • Understand the role of a data analyst in business
  • Collect, clean, and manipulate structured and unstructured data.
  • Apply statistical and analytical techniques to interpret data.
  • Write SQL queries for data extraction and reporting.
  • Use Python (pandas, NumPy, matplotlib, seaborn) for data analysis.
  • Create interactive dashboards using Power BI/Tableau.
  • Communicate findings with clear reports and data visualizations.
  • Work on real-world projects to build a professional portfolio.

Course Curriculum

7 Topics
7 Lessons
total length

  • Introduction to Data Analytics

    read

    What is Data Analytics?Data Analyst roles and responsibilitiesTypes of analytics: Descriptive, Diagnostic, Predictive, PrescriptiveOverview of tools (Excel, SQL, Python, Power BI/Tableau)

  • Excel for Data Analysis

    read

    Data cleaning and preparationFunctions & formulas (VLOOKUP, INDEX-MATCH, Pivot Tables)Data visualization in Excel (charts, dashboards)

  • SQL for Data Extraction

    read

    Introduction to databases and SQLBasic queries (SELECT, WHERE, ORDER BY)Joins, subqueries, and aggregationsWindow functions and CTEs

  • Statistics & Data Analysis Fundamentals

    read

    mean, median, mode, variance, std devProbability basicsHypothesis testing (t-test, chi-square)Correlation & regression analysis

  • Python for Data Analysis

    read

    Introduction to Python and Jupyter NotebookData cleaning and preprocessingData visualization (matplotlib, seaborn, plotly)Exploratory Data Analysis (EDA)

  • Data Visualization & Reporting

    read

    Introduction to BI tools (Power BI/Tableau)Building dashboards & reportsData storytelling techniquesPublishing and sharing reports

  • Advanced Analytics & Case Studies

    read

    Time series analysis basicsIntroduction to machine learning concepts for analystsBusiness case studies (marketing, sales, finance, operations)

Frequently Asked Questions

No, Python and SQL are taught from basics.

You can apply for Data Analyst, Business Analyst, Reporting Analyst, and Junior Data Scientist roles.

Yes, through assignments, projects, and case studies with real datasets.

Data Analyst focuses on analyzing and visualizing existing data for insights, while Data Science includes predictive modeling and machine learning.

Excel, SQL, Python, and Power BI/Tableau (depending on track).

Yes, the course is beginner-friendly with step-by-step guidance.

Prerequisites

  • Basic computer skills
  • Familiarity with MS Excel recommended (not mandatory)
  • No prior programming experience required (Python & SQL taught from basics)
  • Interest in working with data
$ 176.40
252.00
30% OFF

Course Includes:

  • 7 Topics
  • 7 Lessons
  • 7 Articles
Sai C

Sai Chaitanya
Verified
India

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Hello! 👋, we are dedicated to delivering academic excellence and professional growth in the fields of Information Technology (IT) and Clinical Research. Our mission is to create a learning environment that blends technical knowledge, research innovation, and industry relevance to prepare learners for global career success.