PhD., Data Scientist
Learn how to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
You will learn how to:
It includes following parts:
Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.
Module 1 - Importing Datasets
Module 2 - Cleaning and Preparing the Data
Module 3 - Summarizing the Data Frame
Module 4 - Model Development
Module 5 - Model Evaluation
PhD., Data Scientist
Earn your certificate
Once you have completed this course, you will earn your certificate.
Python is a high-level, open-source, programming language that offers an excellent approach to object-oriented programming. It is one of the most popular languages used by data scientists for a variety of projects and applications. Python has a lot of features useful for dealing with arithmetic, statistics, and scientific functions. It also has excellent libraries for data science applications.
Python's popularity in scientific and research fields stems from its ease of use and straightforward syntax. This means it is simple to learn, even for individuals without an engineering or computing background. It's also excellent for rapid prototyping.
This introductory course will teach you how to use Python to examine data. Through online activities, hands-on labs, and assignments, you will progress from learning the fundamentals of Python to examining a variety of data types. You'll learn how to prepare data for analysis, conduct basic statistical studies, develop meaningful data visualizations, and forecast future trends from data.
Once you’ve successfully finished Analyzing Data with Python, you will be able to:
This course is provided through 5 modules.
You will receive an IBM Certificate after completing Analyzing Data with Python. You can make reference to this on your CV, and you can also post it on LinkedIn.