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Python Programming with Data Science and Machine Learning

175,00 

In the labyrinth of technology, the agony of incomplete codes, the frustration of unanalysed data, and the maze of unexplored potential plague those yearning to unravel the secrets of programming, data science, and machine learning. With every keystroke, the need for comprehensive knowledge in Python Programming becomes more pronounced. The demand surges not just for skilful coders but for those who can decipher the cryptic language of data, the architects of machine learning, and the sentinels of cybersecurity.

Be on an odyssey through the Python Programming with Data Science and Machine Learning bundle—a transformative expedition from novice to virtuoso. Dive deep into the heart of Python, mastering its nuances from basic syntax to intricate algorithms. Traverse the terrains of data science, unveiling the secrets of analytics, visualisation, and the intricate dance of numbers in SQL and Tableau. Delve into the realms of machine learning, unravelling its fundamentals, spatial data visualisation, and ethical hacking to become a guardian of cybersecurity. This journey equips you with the tools to dissect data, build robust programs, and harness the power of machine intelligence—an arsenal indispensable in today’s data-driven landscape.

Description

The Python Programming with Data Science and Machine Learning bundle is a comprehensive pathway designed to equip learners with programming knowledge and in data science and machine learning applications. Starting with Python programming, the bundle progresses into specialised areas, including data handling, manipulation, and visualisation using Python. It delves deep into machine learning fundamentals, covering algorithms, modelling, and implementations using Python libraries like Scikit-learn and TensorFlow.

Additionally, the curriculum integrates data science tools such as Tableau and R Programming for in-depth analytics and visualisation. Learners engage in ethical hacking sessions and cybersecurity incident handling to understand security implications in data handling and machine learning environments. The inclusion of C++ and JavaScript modules enhances programming versatility, while Excel Data Analysis and SQL Programming modules solidify database querying and analytical skills. By the end, participants emerge with a robust skill set in Python programming, machine learning algorithms, data analysis, ethical hacking, and cybersecurity incident response, poised for roles in data-driven industries and cybersecurity domains.

The Python Programming with Data Science and Machine Learning Bundle comes with one of our best-selling Python Programming: Beginner To Expert course with a FREE CPD Certified Hardcopy certificate along with 14 additional CPD Certified courses:

  • Course 01: Data Science and Machine Learning using Python : A Bootcamp
  • Course 02: Diploma in C++ and Python Programming
  • Course 03: Javascript for Data Structures
  • Course 04: Python Django Training
  • Course 05: Mastering SQL Programming
  • Course 06: Machine Learning Basics
  • Course 07: Spatial Data Visualization and Machine Learning in Python
  • Course 08: Python Data Science
  • Course 09: Data Analytics with Tableau
  • Course 10: R Programming for Data Science
  • Course 11: Learn Ethical Hacking From A-Z: Beginner To Expert
  • Course 12: Diploma in Data Analysis Fundamentals
  • Course 13: Excel Data Analysis
  • Course 14: Cyber Security Incident Handling and Incident Response

Method of Assessment

To successfully complete the courses, students will have to take an automated multiple-choice exam. This exam will be online, and you will need to score 60% or above to pass the course.

After successfully passing the course exam, you will be able to apply for a certificate as proof of your expertise.

Who is this course for?

This Python Programming with Data Science and Machine Learning bundle is designed for:

  • Tech enthusiasts aspiring to become proficient in programming languages and data science techniques for varied applications.
  • IT professionals looking to expand their skill set in Python, data analytics, machine learning, and cybersecurity domains.
  • Students and graduates seeking comprehensive knowledge in programming, data analysis, and machine learning for future career prospects.
  • Professionals transitioning or upskilling to enter the data science, cybersecurity, or software development industries.
  • Anyone interested in exploring the vast possibilities of Python programming for data-driven decision-making and technological innovation.

Requirements

This course has no set requirements for learning. All you need is a device, an internet connection, and the basics of English. If you have them then you’re good to go!

Additional information

Hours · Self-Paced

142

Language

English

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