Data Analytics - From Scratch Course by Dhruv Shah

This Data Analytics from Scratch Online Course is designed to help beginners build a strong foundation in data analysis using industry-standard tools such as Microsoft Excel, SQL, and Tableau. The program follows a structured learning path that starts with fundamental analytics concepts and gradually progresses toward practical data handling, visualization, and decision-making techniques.

The course is ideal for students, graduates, working professionals, and career switchers who want to enter the growing field of data analytics. No prior experience is required, as the curriculum begins with basics and moves toward advanced practical skills used in real-world business environments.

By the end of the course, learners will gain the ability to clean, analyze, and visualize data effectively while developing the confidence to work with real datasets.

What Students Will Learn

Students will gain comprehensive knowledge across core data analytics tools and concepts:

Data Analytics Fundamentals

• Introduction to data analytics and its real-world applications

• Understanding types of analytics: descriptive, diagnostic, predictive, and prescriptive

• Role of data visualization in decision-making

• Working with different data formats

Microsoft Excel for Data Analysis

• Excel basics and advanced data handling techniques

• Data formatting, filtering, and sorting

• Conditional formatting and lookup functions

• Data organization and cleaning techniques

• Pivot tables and data summarization

• Practical Excel applications for analytics

SQL & Database Management

• Introduction to databases and relational database concepts

• Writing SQL queries using SELECT statements

• Filtering, sorting, and customizing data output

• Aggregate functions and group operations

• Joins and subqueries for multi-table analysis

• Data manipulation and schema management

• Working with large datasets efficiently

Tableau for Data Visualization

• Introduction to Tableau interface and features

• Connecting to Excel, text files, and databases

• Data blending and table joins

• Creating charts, reports, and dashboards

• Calculated fields and ranking methods

• Filters, parameters, and data segmentation

• Dashboard design and storytelling techniques

• Publishing and presenting data insights

Teaching Method

The course is delivered through live online interactive sessions, focusing on practical learning and real-world applications. The teaching approach includes:

• Step-by-step concept explanations

• Hands-on practice with datasets

• Live demonstrations using analytics tools

• Real-world case study examples

• Interactive assignments and exercises

• Continuous doubt-clearing support

This ensures students gain both theoretical understanding and practical expertise.

Why This Tutor

The course is guided by a dedicated analytics instructor who focuses on simplifying complex data concepts and providing hands-on training. The teaching style emphasizes clarity, practical application, and gradual skill development to help learners confidently work with data tools.

Students receive personalized guidance to build strong analytical skills.

Benefits & Outcomes

After completing this course, students will:

• Understand core data analytics concepts

• Gain practical expertise in Excel, SQL, and Tableau

• Learn to analyze and interpret real-world data

• Develop strong data visualization skills

• Improve decision-making abilities using data insights

• Build a strong foundation for analytics career opportunities

This course serves as an excellent starting point for anyone aspiring to enter the data analytics field.