Data Science with Python
Beschreibung
Why choose Simplilearn for your training?
Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals.
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
What are the course objectives?
The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine lea…
Frequently asked questions
Es wurden noch keine Besucherfragen gestellt. Wenn Sie weitere Fragen haben oder Unterstützung benötigen, kontaktieren Sie unseren Kundenservice.
Why choose Simplilearn for your training?
Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals.
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
What are the course objectives?
The Data Science with Python course will furnish you with
in-depth knowledge of the various libraries and packages required
to perform data analysis, data visualization, web scraping, machine
learning and natural language processing using Python.
Python has surpassed Java as the top language used to introduce US
students to programming and computer science, and 46 percent of
data science jobs list Python as a required skill.
What skills will you learn?
This Python for Data Science training course will enable you
to:
* Gain an in-depth understanding of data science processes, data
wrangling, data exploration, data visualization, hypothesis
building, and testing. You will also learn the basics of
statistics
* Install the required Python environment and other auxiliary tools
and libraries
* Understand the essential concepts of Python programming such as
data types, tuples, lists, dicts, basic operators and functions
* Perform high-level mathematical computing using the NumPy package
and its large library of mathematical functions
* Perform scientific and technical computing using the SciPy
package and its sub-packages such as Integrate, Optimize,
Statistics, IO and Weave
* Perform data analysis and manipulation using data structures and
tools provided in the Pandas package
* Gain expertise in machine learning using the Scikit-Learn
package
* Gain an in-depth understanding of supervised learning and
unsupervised learning models such as linear regression, logistic
regression, clustering, dimensionality reduction, K-NN and
pipeline
* Use the Scikit-Learn package for natural language processing
* Use the matplotlib library of Python for data visualization
* Extract useful data from websites by performing web scrapping
using Python
* Integrate Python with Hadoop, Spark and MapReduce
Exam & Certification
To become a Certified Data Scientist with Python, you must
fulfil the following criteria:
* Complete one project out of the two provided in the course.
Submit the deliverables of the project in the LMS which will be
evaluated by our lead trainer
* Score a minimum of 60% in any one of the two simulation tests
* Complete 85% of the course
* Attend one complete batch.
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