Explore and analyze data with Python
|
Data exploration and analysis is at the core of data science. Data scientists require skills in programming languages like Python to explore, visualize, and manipulate data.
Common data exploration and analysis tasks., How to use Python packages like NumPy, Pandas, and Matplotlib to analyze data.
Prerequisites
Knowledge of basic mathematics
Some experience programming in Python
Familiarity with Jupyter notebooks
User Reviews
Be the first to review “Explore and analyze data with Python”
Related Products
Python for Data Science: From the Basics to Advanced
This Free Online Course Includes: 6-10 Hours of Learning CPD Accreditation Final Assessment
Advanced Diploma in Python Programming for the Novice to Expert
This Free Online Course Includes: 15-20 Hours of Learning CPD Accreditation Final Assessment
Basics of Data Analysis with Excel
This Free Online Course Includes: 3-4 Hours of Learning CPD Accreditation Final Assessment
Diploma in Data Analytics with Python
This Free Online Course Includes: 6-10 Hours of Learning CPD Accreditation Final Assessment
Microsoft Access Masterclass
This Free Online Course Includes: 5-6 Hours of Learning CPD Accreditation Final Assessment
Introductory Stata 2023: Graphics and Data Visualization
This Free Online Course Includes: 1.5-3 Hours of Learning CPD Accreditation Final Assessment
There are no reviews yet.