Data Science with Python Training is developed to help professionals master Data Science Analytics by using Python. This technical course teaches you to operate on different python libraries like NumPy, SciPy, Lambda function to name a few. It contains all the essential aspects of practical data science that help you become a competitive data analyst. With this course, you will master leading data science analyst skills in domains like Data Science, Big Data, and Machine Learning.
This program teaches you about OOP concepts, functions, and expressions and how to create Pig and Hive UDF in Python. It provides in-depth information regarding SQLite, operations classes and guides you to deploy Python for MapReduce programming. Python is a leading programming language, and by the end of this course, your grip and skills on this language will improve, which will boost your credibility and help you prepare for the Data Science Certification exam.
Contact us to customize this class with your preferred dates, times and location. You can call us on 1-800-961-0337 or Chat with our representative.
This training is intended for BI Managers, ETL Professionals, Software Developers, Big Data Professionals and Analytics Professionals. However, it’s mandatory to have qualification for data analysts who are seeing to advance their skills in technical aspects of Python.
You can definitely switch from self-paced learning to online instructor-led training. Just check our next scheduled class for Python for Data Science course.
Once you complete Python for Data Science course training at Microtek Learning along with all the real-world projects, quizzes and assignments and score at least 60% marks in qualifying exam, we will issue a widely recognized certificate.
We provide you maximum opportunities to have hands-on experience during the training. When you complete Python for Data Science course at Microtek Learning, your credentials are acknowledged wider and better. In addition, we have the best trained instructors with years’ experience in Python arena.
By completing the data science projects at your own by applying the learned skills, you get the opportunity the test your practical skill and knowledge; as well as it boosts your confidence to take on a job just after completing the course.