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Introduction to Python for Data Science & Data Engineering Course Overview

Introduction to Python for Data Science & Data Engineering Course Overview

The Introduction to Python for Data Science & Data Engineering course is a comprehensive program designed to equip learners with the essential skills for data analysis using Python. As one of the best Python for data science courses, this program covers fundamental topics such as data types, data structures, CSV files, and data manipulation. The python data course also introduces learners to libraries such as NumPy, Pandas, and Matplotlib, which are vital tools in data analysis. The course is structured to ensure a practical approach, with numerous hands-on exercises and projects. This python course for data analysis is beneficial for those seeking to venture into data science, data analysis, or data engineering. Completing this python data analysis course will provide learners with the confidence and skills to tackle any data-driven problem.

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  • Live Online Training (Duration : 16 Hours)
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  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

- Basic understanding of computer programming concepts
- Familiarity with mathematical concepts
- Knowledge of any programming language
- Problem-solving skills
- Prior experience in handling, manipulating, and analyzing data
- Interest in learning Python and its application in Data Science & Data Engineering
- High school level math and statistics knowledge.

Learning Objectives - What You Will Learn from this Course

• In the Introduction to Python for Data Science & Data Engineering, students will embark on a comprehensive Python data course.

• The course is recognized as one of the best Python for data science courses, offering in-depth knowledge about data manipulation, data visualization, and data analysis using Python.

• This python course for data analysis will guide students through the basics of Python programming, data structures, and the application of Python libraries like NumPy, pandas, and matplotlib.

• As part of the python data analysis course, students will also learn to apply Python for machine learning and predictive modeling, making it an ideal choice for those aspiring to become data engineers or data scientists.

• The course ensures a hands-on approach with real-world data sets, enabling students to practice and hone their skills. Therefore, the Introduction to Python for Data Science & Data Engineering is a well-rounded course to learn and master Python for data science.

Why Choose Koenig for Introduction to Python for Data Science & Data Engineering Certification Training?

·
  • Certified Instructor: Expert-led training.
  • Accredited Training: Industry-recognized certifications.
  • Customized Training Programs: Tailored to individual needs.
  • 4-hour sessions: Suitable for everyone·
  • Destination Training: Learn in popular destinations like Delhi, Dubai, Singapore, London, New York, etc.
  • Affordable Pricing: Cost-effective training solutions.
  • Flexible Dates: Accommodates busy schedules.
  • Instructor-Led Online Training: Accessible and interactive.
  • Wide Range of Courses: Diverse learning opportunities.
  • 30+ years of experience – Bringing experience
  • Get certified faster: When learners value time more

Who Should Opt for the Introduction to Python for Data Science & Data Engineering Course?

Professionals like data analysts, data engineers, business analysts, and researchers can benefit from the python data course. This best python for data science courses is also useful for statisticians and financial analysts. The data analysis using python course can help professionals in marketing, sales, and HR roles. The python course for data analysis is also beneficial for programmers and developers. The python data analysis course can enhance the skills of IT professionals and project managers.