Data Science with Python
About Data Science with Python
Learners receive a thorough grasp of data analytics tools & methodologies with this Data Science with Python training. You may learn about data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing by getting started with Python.
The fundamentals of the Python programming environment, including core python programming methods like lambdas, reading and manipulating CSV files, and the Numpy library, will be covered in this course. The popular Python pandas data science library will be used to educate on how to manipulate and clean data, explain the abstraction of Series and DataFrame as the key data structures for data analysis, and provide lessons on how to efficiently use tools like groupby, merge, and pivot tables.
Why is Data Science with Python important?
Python's data science libraries are excellent for dealing with data science applications. Because of its simplicity and ease of use, Python is one of the most popular programming languages in the scientific and research sectors. People without technical backgrounds may easily learn how to use it because of this.
Who should take the Data Science with Python Exam?
- Managers, senior executives, executives
- Anyone Who Wishes To Learn Practical Data Science Using Python
- Anyone Interested In Learning Machine Learning Algorithms
- Data Scientist
- Python Developer
Data Science with Python Certification Course Outline
- Introduction to Data Science
- Python Libraries for Data Science
- Data Wrangling
- Feature Engineering
- Exploratory Data Analysis
- Fundamentals of Data Manipulation with Python
- Basic Data Processing with Pandas
- More Data Processing with Pandas
- Answering Questions with Messy Data