Python Data Science Fundamentals: Getting Started
What you'll learn
- Master data analysis using NumPy & Pandas for efficient manipulation
- Create impactful data visualizations with Matplotlib, conveying insights effectively
- Gain an introduction to Scikit-learn, building and evaluating predictive models
- Enhancing practical skills in data analysis, visualization, & basic machine learning techniques
Requirements
- Computer/ Mobile
- Basic Python Knowledge
Description
Course Description: Python for Machine Learning: A Beginner's Kickstart
Welcome to the Python for Machine Learning: A Beginner's Kickstart course! This introductory course is designed to provide you with the fundamental skills and knowledge needed to dive into the exciting world of machine learning using Python.
Course Overview: In this course, you'll gain hands-on experience with essential Python libraries for data manipulation, analysis, visualization, and machine learning. The course focuses on three core libraries: NumPy, Pandas, Matplotlib, and Scikit-learn. These libraries are the backbone of data science and machine learning in Python, and mastering them will give you a solid foundation to explore more advanced machine learning topics.
What You'll Learn:
NumPy: Learn how to efficiently work with arrays and matrices, perform mathematical operations, and manipulate data in Python using NumPy.
Pandas: Discover the power of Pandas for data wrangling and manipulation, from handling data frames to performing data analysis and cleaning.
Matplotlib: Explore data visualization techniques using Matplotlib to create meaningful plots and charts.
Scikit-learn: Dive into the world of machine learning with Scikit-learn. Understand the basics of data preprocessing, model building, training, evaluation, and prediction.
Launch Your Data Science Journey: Embark on a transformative learning journey that will equip you with the fundamental skills and knowledge needed to excel in the field of data science. With Python at the heart of this course, you'll harness the power of NumPy, Pandas, Matplotlib, and Scikit-learn to become a proficient data scientist.
Why Start Here: This course is designed to be your first step into the thrilling world of data science and machine learning. We'll take you on a beginner-friendly adventure, focusing on essential Python libraries: NumPy for numerical computing, Pandas for data manipulation, Matplotlib for data visualization, and Scikit-learn for introductory machine learning.
Build Essential Skills: Discover the power of Python in data science as we guide you through the fundamental concepts of each library. By the end of the course, you'll have a solid understanding of how to perform basic data analysis, visualization, and even create simple machine learning models.
Who this course is for:
- Beginners with basic programming experience looking to enter the field of data science.
- Aspiring data analysts or data scientists seeking to build a strong foundation in Python for data manipulation and analysis
- Professionals from diverse backgrounds aiming to enhance their data analysis and visualization skills
- Individuals interested in understanding the basics of machine learning and its applications in real-world scenarios
Instructor
- 4.2 Instructor Rating
- 3,055 Reviews
- 228,310 Students
- 15 Courses
Academy of Computing & Artificial Intelligence -UK proudly presents you these valuable courses. [ACAI]
It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2022.
To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance]. Each & every step is clearly explained. [Guided Tutorials]
"While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn.
The Founder has over 12 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer.
PhD Candidate in Australia,
MSc Artificial Intelligence (University of Moratuwa), BSc Software Engineering - First Class Honours (University of Westminster),SCJP, SCWC
He has completed a MSc in Artificial Intelligence.
Completed BSc Software Engineering - First Class Honors from University of Westminster (UK).
Sun Certified Java Programmer (SCJP). – 93% and a Sun Certified Web Component Developer 97%.
Research experience in Data mining, Machine Learning , Cloud computing, Business Intelligence & Software Engineering.
Course Team includes : PhD Holders , PhD Candidates, Senior Lecturers , Consultants , Researchers, Industry Experts & hiring managers