For Corporate and in-house training
Python is one of the most popular programming languages for data processing, due to its easy readability, and easy comprehension. Python’s learning curve is short, and due to its many data structures, classes, nested functions, and iterators. This language has become the first choice of data scientists for various functions across many industries.
.....KnowledgeHut’s Data Science for Python programming course in San Diego is a course that covers major Data Science concepts with hands-on training, assessments and interview prep. By the end of this course, you’ll learn concepts including exploratory data analysis, statistics fundamentals, hypothesis testing, regression classification modeling techniques and machine learning algorithms.
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
Data Science and Python are skills for which the demand is growing fast in cities like San Diego. Many companies are looking for professionals who can use data sets to generate strategic plans. Acquiring such in-demand skills in data science and Python can boost both your career and benefit your organization by improving decision-making.
.....Data Science and AI are “hot topics” in today’s business world. More and more businesses are realizing the importance and the worth of these tools, especially in the post-COVID time. With Data Science reshaping the way we work; businesses are raising their performance by focusing on data and identifying patterns. This rising trend of Data science is not limited to the tech industry; it is also picking up in other industries like banking, finance, aerospace, entertainment, oil and gas, and travel. Data Scientists who can reinvent business models by working with Python are in demand across these industries as they 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.