82% Off Python for Data Science and Machine Learning Bootcamp | Udemy Review & Coupon

Acquire skills in utilizing various programming tools such as NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, and Tensorflow.

This course covers:

Are you looking to learn the fundamentals of Python for data science and machine learning? Look no further than the Python for Data Science and Machine Learning Bootcamp! This comprehensive course provides 25 hours of on-demand video, 13 articles, 5 downloadable resources, access on mobile and TV, and a certificate of completion.

What you'll learn

Python is rapidly becoming the preferred language for data science and machine learning tasks. It is a powerful and versatile programming language that can be used to work with large data sets and create real-world solutions. With its simple syntax and built-in libraries, Python offers quick and easy ways to manipulate data for analytical purposes. It has become increasingly popular in recent years, because of its capacity to carry out complex tasks with minimal coding involved.

Using Python for data science and machine learning enables users to apply algorithms such as supervised and unsupervised learning when working with big datasets. With its Spark framework integration, you can perform big data analysis efficiently by leveraging its RDDs (Resilient Distributed Datasets). Moreover, NumPy library allows for numerical computing, Pandas for Data Analysis hence creating an atmosphere where effective actionable insights can be extracted from the data. Additionally, Matplotlib helps Python developers establish visuals which are helpful in making informed decisions. All this provides you the steps required to understand your datasets deeply to build models around them or make better decisions down the line.

Python is a programming language used for data science and machine learning.

Spark is a tool used for analysis of big data.

Utilize machine learning algorithms.

Acquire proficiency in the usage of NumPy for numerical data.

Acquiring the skill of using Pandas for data analysis can be beneficial.

Acquire the skill of utilizing Matplotlib for Python plotting.

One can gain proficiency in creating statistical plots by learning to use Seaborn.

Plotly is a software tool that enables the creation of interactive and dynamic visualizations.

The SciKit-Learn tool is commonly utilized for various machine learning tasks.

And much more!

About the author

Jose Marcial Portilla is an experienced and highly trained instructor, who specializes in data science, machine learning, and Python programming. With a bachelor’s and master’s degree in Mechanical Engineering from Santa Clara University and several patents in various fields such as microfluidics and materials science, Portilla has built up a wealth of knowledge that he seeks to share with others. Through training sessions at top companies like General Electric, Cigna, SalesForce and Starbucks — just to name a few — Portilla assists employees by providing instruction on data analysis skills and refining their ability to present the results of their research through clear and beautiful visualizations.

Portilla is best known for his role as Head of Data Science at Pierian Training, where he offers his expertise through one-on-one instructorship or specialized courses designed for any level. Whether you are just starting to learn coding or are looking to refine advanced programming languages such as Python, Portilla’s vast self-taught experience gives him the flexibility to offer different training programs tailored to ambitious individuals looking for new challenges. He incorporates power of programming along with data analysis insights so that anyone from beginners to experts can benefit from quick comprehension and integration of concepts into practical applications.

Requirements

Anyone looking to meet the requirements for a task should have some programming experience. Understanding coding basics such as variables, functions, loops, and logic is essential to carry out any programming duties. Different types of languages are used when writing code so having experience with at least one of these is important. This knowledge can easily be obtained by taking classes either in person or online on platforms like Codecademy or Code School.

In addition to programming experience, it is important that users have admin permissions to download files. Without the ability to access and download the necessary files, it will be difficult to complete the job.

Description

For those looking to pursue a career in data science, this comprehensive course offers an invaluable guide as to how to use Python for data analysis, visualization, and machine learning applications. This course is tailored for both novices with some programming skills who are just entering the field and experienced developers looking to transition into Data Science. And best of all, it is financially accessible at a far lesser cost than other data science bootcamps that are out of reach for many individuals.

Data Science is one of the most desirable job opportunities on the market right now due to its lucrative rewards and successful career paths. It holds an alluring number 1 spot on Glassdoor's list and Indeed reports that the average salary of a Data Scientist surpasses $120,000 annually in the United States alone. This course offers you the chance to learn powerful tools and techniques enabling you to tap into complex datasets, interpret them and develop various models from this information. It sets you on your journey towards an exciting new career, allowing you to solve some of today's most interesting real-world problems.

This course provides a similar level of education as other Data Science bootcamps, which typically have a high price tag. However, this course is available at a significantly lower cost. This course on Udemy offers a comprehensive approach to data science and machine learning, including over 100 HD video lectures and detailed code notebooks for each lecture.

Our curriculum includes instruction on programming with Python, creating data visualizations, and utilizing Machine Learning with Python.

This course is intended for:

This course requires a certain level of programming experience.