Data Science

Data Science

Data Science learning path involves mastering core technologies such as Python programming, statistics, and foundational machine learning concepts. Then, you progress to exploring data processing and visualization tools like Pandas, NumPy, and Matplotlib. Next, you can delve into machine learning frameworks and libraries like Scikit-learn and TensorFlow, as well as knowledge in deep learning. Understanding data engineering aspects is also crucial, including skills in data cleaning, transformation, and storage technologies such as SQL and NoSQL databases. Continuous learning and hands-on practice through solving real-world problems and engaging in projects are essential for skill advancement.

231 Skills|6 Courses|87 Projects
Quick Start with Python
Quick Start with Python
Quick Start with Python
Quick Start with Python
Beginner
LinuxPython
This course is designed for beginners who want to start their journey with Python. You will learn the basics of Python, including data types, variables, operators, and how to use them in real-world scenarios. You will also learn how to use the IPython shell and Jupyter Notebook to write and execute Python code.
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10 Labs
Your First Python Lab
Start
Data Types and Conversion
Start
Comprehensive Python Hello
Start
Effective Python Code Commenting
Start
Python Math and Augmented Assignment
Start
Convert Hours to Seconds
Start
Exploring IPython's Interactive Computing Features
Start
Conditional Statements in Python
Start
Python Data Structures Fundamentals
Start
Variable Type Conversion
Start
Quick Start with MySQL
Quick Start with MySQL
Beginner
LinuxMySQLSQL
In this course, you will learn what Structured Query Language (SQL) and databases are, the basics of database management, how to set up and configure MySQL, and how to get MySQL client to connect to a MySQL Server.
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Lab
Quick Start with NumPy
Quick Start with NumPy
Beginner
NumPyPython
This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
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Lab
Quick Start with Pandas
Quick Start with Pandas
Beginner
PandasPython
This course is designed for beginners who want to start analyzing data with Pandas. It covers the basics of Pandas, including data structures, data manipulation, and data visualization.
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Lab
Quick Start with Matplotlib
Quick Start with Matplotlib
Beginner
MatplotlibPython
This course is a quick tutorial on Matplotlib, a Python library for drawing 2D and 3D graphics. It is designed to get you started with Matplotlib quickly.
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Lab
Quick Start with scikit-learn
Quick Start with scikit-learn
Beginner
scikit-learnMachine Learning
In this course, We will learn how to use scikit-learn to build predictive models from data. We will explore the basic concepts of machine learning and see how to use scikit-learn to solve supervised and unsupervised learning problems. We will also learn how to evaluate models, tune parameters, and avoid common pitfalls. We will work through examples of machine learning problems using real-world datasets.
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Lab
Unlock Your Data Science Skills
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