Data analytics: Master Class
Start you career as a data analyst using the power of Statistics, SQL, Python and so much more
.png)
Starting from the basics, you will build a solid foundation in data analysis, beginning with understanding data and progressing to mastering statistics. This course is designed to be your one-stop resource, eliminating the need for any other sources. By the end of this master class, you will be ready to tackle real-world projects confidently. Our project-based approach ensures that you learn by doing, moving beyond the abstract theories often emphasized in traditional academic settings.
This includes all the tools from
Data analytics: Introductory course
Starting from the basics, you will build a solid foundation in data analysis, beginning with understanding data and progressing to mastering statistics. This course is designed to be your one-stop resource, eliminating the need for any other sources. By the end of this master class, you will be ready to tackle real-world projects confidently. Our project-based approach ensures that you learn by doing, moving beyond the abstract theories often emphasized in traditional academic settings.
Statistics: The starting point
You’ll explore key statistical concepts such as central tendency, variability, data visualization, and the normal distribution. The course also introduces standardization, z-scores, the central limit theorem, and correlation analysis, equipping you with the knowledge to draw insights from data confidently.
SQL for Data Science
From SQL fundamentals to advanced topics like Common Table Expressions (CTEs), window functions, and subqueries, this course covers all the essentials. You'll gain the ability to perform complex queries, optimize database operations, and manage data with ease, preparing you for real-world data challenges.
Python Fundamentals: Building the Basics
In this course, you'll dive into Python basics like variables, data types, lists, control flow, and loops. You’ll also explore functions, dictionaries, user input, file handling, and working with HTTP requests, giving you a practical understanding of Python’s versatility and power.
Python Intermediate: OOP
In this course, you'll dive into Python basics like variables, data types, lists, control flow, and loops. You’ll also explore functions, dictionaries, user input, file handling, and working with HTTP requests, giving you a practical understanding of Python’s versatility and power.
Python for Data analysis: Numpy & Pandas
In this course, you'll explore NumPy’s powerful array operations and functions for numerical analysis, and then dive into Pandas to handle, clean, and analyze real-world datasets. You’ll learn to work with DataFrames, manipulate data, and perform advanced operations with ease. By the end, you'll be able to efficiently manage data and drive insights from it, making your work as a data analyst much smoother.
Data visualization with Python: Matplotlib & Seaborn
You’ll learn the foundations of data visualization using Matplotlib, Python’s most popular plotting library, followed by the advanced features of Seaborn for creating informative statistical graphics. From basic line plots to complex heatmaps, this course will equip you with the skills to communicate data insights with clarity and impact.
Python for Data analysis: EDA & Projects
In this course, you'll explore NumPy’s powerful array operations and functions for numerical analysis, and then dive into Pandas to handle, clean, and analyze real-world datasets. You’ll learn to work with DataFrames, manipulate data, and perform advanced operations with ease. By the end, you'll be able to efficiently manage data and drive insights from it, making your work as a data analyst much smoother.