• Made with Love in India
  • Made with Love in India

Course Description

A Masterclass on the Data Analyst Roadmap is designed to guide individuals through the essential skills and knowledge required to become a successful data analyst. It covers a wide range of topics, beginning with foundational concepts in data handling, such as understanding data types, databases, and basic statistical methods. As participants progress, they delve deeper into data manipulation techniques, including cleaning, transforming, and visualizing data using industry-standard tools like Excel, SQL, and Python. The course also explores advanced analytics techniques, focusing on predictive modeling, machine learning, and data-driven decision-making. Students learn how to interpret and communicate insights effectively through data visualization tools such as Tableau or Power BI. The roadmap emphasizes real-world problem-solving, teaching students to apply their skills in various industries, from finance to healthcare and marketing.


What you'll learn in this course

  • Learn the basics of the Python Programming Language
  • Understand how to work with files, JSON, Numpy, and OS using Python
  • Learn how to use Jupyter  for data analysis and visualization
  • Use Pandas to manipulate and analyze data
  • Learn basic statistics and data preprocessing techniques for data analysis
  • Build projects using data analysis techniques
  • Understand the basics of Excel and SQL for data management and analysis
  • Learn how to use PowerBI for data visualization and reporting

Requirements

  • No data analysis or coding experience is required to take this course - I will take you from a beginner to expert!
  • A basic understanding of Excel and Python would be helpful, but not a requirement! The course includes a crash course on Excel and Python.

Curriculum

  • 9 Lessons
  • 300 mins.
  • Overview of data analytics and its importance in business
  • Role of a data analyst and key responsibilities
  • Types of data analysis (descriptive, diagnostic, predictive, and prescriptive)
  • Python Setup
  • Data Manipulation with Pandas
  • Data Visualization with Matplotlib and Seaborn
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis with Python
  • Working with Real-World Datasets
  • Data Analysis and Visualization with Python
  • Data Analysis Project

Your Instructor

Team

Khushi Dubey

Advanced Educator

I have over a year of industry experience working as a Senior Product Engineer, where I specialized in Cloud Computing using AWS and Java development, particularly in building scalable applications using Spring Boot and microservices architecture. My experience in delivering clean, efficient code and managing complex backend systems, combined with my immediate availability, makes me a strong fit for this role.