Data Analyst

Data Analyst

Category

Data Science

Overview:

Step into the world of data with our comprehensive program, The Complete Data Analyst Program. This course is carefully designed to take you from the fundamentals of working with data to advanced analytical techniques and visualization strategies. Whether you are starting your journey into analytics or looking to sharpen your skills for professional growth, this program offers a structured pathway to becoming a skilled Data Analyst. Through a balance of concepts, practical exercises, and real-world applications, you will gain the expertise needed to interpret, transform, and present data effectively.

Module 1: Introduction to Data Analytics

  • Role of data in decision-making and business strategy

  • What data analytics is and its different types

  • Career path of a data analyst

  • Key tools and environments used in the course

Module 2: Excel and Spreadsheets for Analytics

  • Building a foundation in spreadsheet-based analytics

  • Data entry, formatting, and organization

  • Advanced functions and pivot tables

  • Creating basic dashboards

  • Transforming raw data into structured insights

Module 3: SQL and Databases

  • Understanding relational databases

  • Querying data using SQL

  • Filtering, grouping, and joining datasets

  • Preparing and retrieving data for analysis

Module 4: Statistics and Analytical Thinking

  • Probability and distributions

  • Hypothesis testing and regression analysis

  • Applying statistics to real-world scenarios

  • Translating raw numbers into actionable insights

Module 5: Python for Data Analytics

  • Introduction to programming-driven analytics

  • Data cleaning and manipulation with Python

  • Libraries: Pandas, NumPy, Matplotlib

  • Automating workflows beyond spreadsheets

  • Hands-on exercises for practical learning

Module 6: Exploratory Data Analysis (EDA)

  • Techniques for exploring datasets in depth

  • Identifying patterns, anomalies, and trends

  • Visualization and descriptive statistics

  • Storytelling methods for generating hypotheses

Module 7: Data Visualization and Dashboards

  • Designing impactful visualizations

  • Building interactive dashboards with Power BI / Tableau

  • Effective chart design and interactivity

  • Storytelling with data for business decision-making

Module 8: Business Intelligence in Practice

  • Applying analytics in business contexts

  • Using KPIs and data-driven strategies

  • Automation in analytics-driven decision-making

  • Real-world case studies connecting technical skills to business outcomes

Benefits of the Program

  • Gain end-to-end skills in data analytics, from foundational tools to advanced visualization.

  • Build practical expertise with real-world datasets and hands-on projects.

  • Develop analytical thinking and problem-solving skills valued across industries.

  • Create a professional portfolio to showcase your data analyst capabilities.

  • Join a learning community of peers and professionals passionate about data.

Who Should Enroll

This course is designed for aspiring data analysts, business professionals, and anyone eager to make data-driven decisions. Whether you’re just beginning or looking to transition into analytics, The Complete Data Analyst Program provides a guided pathway to proficiency.

 

Instructor

Ganesh Kachare

Features

Duration

50 hrs

Lectures

24

Quizes

44

Rates

4 stars

₹ 30,000/-

Frequently asked questions ?

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