Title: Python for Data Science Course for upcoming Data Scientists
1Python For Data Science
Enroll Now
https//skillup.online/
2Course Overview
Beginning your study of Python for data science
and introducing you to programming in general
will be the goals of this introductory course.
You can learn Python programming in a matter of
hours thanks to this course's beginner-friendly
format. This course will teach you how to create
your own Python scripts and carry out fundamental
hands-on data analysis in our Jupyter-based lab
environment. You'll learn why Python is so
helpful and how to use it. The definition of
variables, sets, and conditional statements in
Python will be covered. You will gain a thorough
understanding of how Python functions work. You
will look into how to read and write data from
files in Python. Additionally, you will learn how
to use pandas, a crucial Python package for
anyone working on data analysis. After
completing this course, you will be able to use
IBM Watson Studio to develop your own data
science projects and work with other data
scientists. Keep in mind that you get free access
to Watson Studio when you enrol. Get these
essential skills now to jump-start your data
science career.
3Skills you will Gain
- Understand the application of Python.
- Be able to define variables.
- Understand sets and conditional statements in
Python. - Appreciate the purpose of having functions in
Python. - Know how to operate on files to read and write
data in Python. - Know how to use pandas.
4Who should enroll on this Course
- Individuals keen to build skills in Python for
data analysis. - Aspiring data scientists with no experience of
programming. - Working professionals who want to build skills
for a career in data science. - Data scientists keen to build their programming
skills in Python.
5Prerequisites
Familiarity with Jupyter Notebooks
6For further information about Python for Data
Science Course offered by SkillUp Online
Please go to https//skillup.online/courses/pytho
n-for-data-science/
7Thanks for watching