Dive into data science, learn how to process, analyze, model, and visualize data using Python, and prepare for the PCAD™ – Certified Associate in Data Analytics with Python certification.
This intermediate course gives you an opportunity to dive into Python programming for data analysis purposes, and it will teach you the foundational skills required in the field of data analytics. The course will introduce you to the main toolkits, concepts, and methodologies employed by data analysts and data scientists, and will teach you how to program in Python in order to obtain, clean, analyze, summarize, and present data accurately and effectively.
Having completed the course, you will be prepared to attempt the qualification PCAD™ – Certified Associate in Data Analytics with Python certification, and to get your foot in the door to careers in data science, marketing analytics, machine learning, and software engineering.
Sign up for Data Analysis Essentials with Python, and learn these core skills:
Length: 5-6 weeks (Suggested: 7-8 hours/week)
This course teaches you how to use Python to perform data mining, data analysis, and data visualization operations, and it prepares you for the PCAD – Certified Associate in Data Analytics with Python certification exam.
The main goal of the course is to introduce you to the main concepts, best practices, and essential tools utilized in the field of data analytics, as well as familiarize you with the role of a data scientist in the entire data analytics pipeline.
The course will prepare you for jobs and careers connected with software development and data science, which includes such job roles as data analyst, marketing analyst, and software engineer.
Data Analysis Essentials with Python has been designed for anyone and everyone who wants to learn Python and modern programming techniques used for data analysis and data visualization purposes.
It will particularly appeal to:
This course has been designed for learners who are already familiar with basic to intermediate Python programming concepts, such as: data types, containers, functions, conditions, loops, exceptions, modules, packages, and the basics of procedural, structural, functional, and object-oriented programming.
Experience required: completion of the Python Essentials 1 and Python Essentials 2 courses, or equivalent experience.
By the end of the course, you will be able to: