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KnowledgeHut’s Data Science for Python course in San Francisco is a comprehensive course that covers interesting topics like exploratory data analysis and statistics fundamentals. Our course is delivered by top instructors who are experienced in data science from around the world. The added feature of interview prep will help you uncover great opportunities.
.....Python is one of the most popular and easy-to-learn programming languages for data processing. Its simple syntax, easy readability, and easy comprehension are some of its popular features. Python’s learning curve is low, and due to its many data structures, classes, nested functions, and iterators; besides the extensive libraries, this language has become the first choice of data scientists for analyzing, extracting information, and making informed business decisions through big data.
42 Hours of Live Instructor-Led Sessions
60 Hours of Assignments and MCQs
36 Hours of Hands-On Practice
6 Real-World Live Projects
Fundamentals to an Advanced Level
Code Reviews by Professionals
Being LinkedIn’s top job in its Emerging Jobs Report for three consecutive years, Data Science is a discipline that’s rapidly growing in recent years. Many organizations around the world are looking for skilled data scientists who can convert huge amounts of data into strategic plans for the organization to ensure business growth.
.....Data Science has taken the spotlight in recent years, especially post-COVID as more and more brands realize the possibilities of these tools in modern business. The average salary for a data scientist in the U.S. is $96,494 per year and the demand for data scientists is pegged to grow by 16% between 2020 and 2028.
Capitalize on the demand for the ‘hottest job of the 21st century’ with a program primed for industry relevance. Companies are slowly identifying small fractions of the potential locked in data. Data Scientists who can reimagine business models by working with Python can change the fortunes of the companies apart from their own.
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Our immersive learning approach lets you learn by doing and acquire immediately applicable skills hands-on.
Learn theory backed by real-world practical case studies and exercises. Skill up and get productive from the get-go.
Get trained by leading practitioners who share best practices from their experience across industries.
Our Data Science advisory board regularly curates best practices to emphasize real-world relevance.
Webinars, e-books, tutorials, articles, and interview questions - we're right by you in your learning journey!
Six months of post-training mentor guidance to overcome challenges in your Data Science career.