Description
Data analysis with python course. This course explores how to analyze data with the Python programming language and use functional libraries to enter the world of data analysis, artificial intelligence, and machine learning. This course is designed for people who want to start their career as a data analyst or enter the field of artificial intelligence ( AI ) and machine learning . This training is designed so that beginners can learn data analysis with Python in a step-by-step, simple, and completely practical way. Whether you are a university student, new to the world of programming, or looking to change your career path, this course will help you develop real data analysis skills. During this course, learners will be introduced to the basic concepts of Python , how to work with the NumPy library from scratch, and use Pandas to manipulate data. Data cleaning techniques, missing value handling, and data visualization using Matplotlib and Seaborn libraries are also fully taught. Exploratory data analysis ( EDA ) and working with real-world datasets such as Netflix data , sales, student performance, and cricket matches are part of the practical projects in this course. This process helps students understand the workflow of a data analyst in real companies and build a strong foundation for entering the job market. The course includes more than 48 structured training videos, simple explanations, practical coding exercises, and practice files. Upon completion of this course, learners will be able to analyze and clean real data, create professional charts, and create strong portfolios for their resumes. No programming background is required to start this educational path; all you need is a computer, an internet connection, and a passion for learning.
What you will learn
- Python Programming Fundamentals : Learn the basic programming principles needed for data analysis and data science from scratch.
- Working with NumPy and Pandas : Optimizely analyze and clean real-world datasets using powerful tools.
- Professional data visualization : Create engaging charts and visualizations with the Matplotlib and Seaborn libraries .
- Exploratory Data Analysis (EDA) : Run and implement real-world data analysis projects with high confidence.
- Managing missing values : Applying data cleaning techniques and preparing data for analysis.
- Working with CSV files : Loading, processing, and extracting information from various data files.
- Using development environments : Working with Jupyter Notebook and Google Colab tools .
- Introduction to Plotly : A practical tool for creating interactive charts.
- Resume Building : Create real-world practical projects like Netflix data analysis and sales to present to the job market.
This course is suitable for people who:
- Beginners : Those who have no prior experience in coding or programming.
- Students : People preparing to enter careers in Data Science .
- Data analysis enthusiasts : Those looking to learn data analysis with Python from scratch.
- Machine Learning Beginners : People who want to learn the basics of Machine Learning and AI .
- Excel users : Those who want to move from Excel tools to advanced data analysis with Python .
- Career Changers : People who plan to enter the fields of analytics, marketing, finance, and business.
Data analysis with python course details
- Publisher: Udemy
- Instructor: Akansha yadav
- Training level: Beginner to advanced
- Training duration: 27 hours and 20 minutes
- Number of lessons: 51
Course topics
Prerequisites for the Data analysis with python course
- No programming experience needed. This course is beginner-friendly and everything will be taught step by step.
- A computer or laptop with internet connection is required for coding practice and projects.
- Basic knowledge of using a computer and installing software will be helpful but not mandatory.
- Passion to learn Data Analysis, Python, AI, or Data Science is all you need to get started.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
16.7 GB