Professional Certificate in Object-Oriented Programming for Data Science

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Professional Certificate in Object-Oriented Programming for Data Science

Object-Oriented Programming for Data Science


Learn to harness the power of OOP in data science with our Professional Certificate.


Unlock efficient data modeling and analysis with this comprehensive course, designed for data scientists and analysts.

Gain expertise in designing and implementing object-oriented models, leveraging concepts like encapsulation, inheritance, and polymorphism.


Develop a strong foundation in Python programming, essential for data science applications.


Enhance your skills in data visualization, machine learning, and data mining.


Take the first step towards a career in data science with our Professional Certificate in Object-Oriented Programming for Data Science.

 Object-Oriented Programming is the backbone of modern data science, and this Professional Certificate course will teach you how to harness its power. By mastering Object-Oriented Programming, you'll unlock a world of efficiency, scalability, and maintainability in your data science projects. With this course, you'll learn to design and implement robust, reusable code that drives business value. You'll gain expertise in Object-Oriented Programming concepts, including encapsulation, inheritance, and polymorphism, and apply them to real-world data science problems. Upon completion, you'll be poised for career advancement in data science, with opportunities in finance, healthcare, and more.

Benefits of studying Professional Certificate in Object-Oriented Programming for Data Science

Object-Oriented Programming is a crucial skill for data scientists in today's market, with the UK's data science job market expected to grow by 14% by 2028, according to a report by the Royal Statistical Society. To stay competitive, professionals need to develop expertise in programming languages like Java, C++, and Python, which are widely used in data science applications.

Programming Language Number of Jobs
Java 1200
C++ 800
Python 1500

Career opportunities

Below is a partial list of career roles where you can leverage a Professional Certificate in Object-Oriented Programming for Data Science to advance your professional endeavors.

* Please note: The salary figures presented above serve solely for informational purposes and are subject to variation based on factors including but not limited to experience, location, and industry standards. Actual compensation may deviate from the figures presented herein. It is advisable to undertake further research and seek guidance from pertinent professionals prior to making any career-related decisions relying on the information provided.

Learn key facts about Professional Certificate in Object-Oriented Programming for Data Science

The Professional Certificate in Object-Oriented Programming for Data Science is a comprehensive course designed to equip learners with the skills necessary to apply object-oriented programming (OOP) principles in data science. This program is designed to be completed in approximately 4 months, with learners expected to dedicate around 10 hours per week to coursework and assignments. The duration of the program allows learners to balance their studies with other commitments while still achieving a high level of proficiency in OOP for data science. Upon completion of the program, learners can expect to gain a solid understanding of OOP concepts, including classes, objects, inheritance, polymorphism, and encapsulation. They will also learn how to apply these concepts to real-world data science problems, including data modeling, data analysis, and data visualization. The Professional Certificate in Object-Oriented Programming for Data Science is highly relevant to the data science industry, where the use of OOP principles is becoming increasingly popular. By learning OOP for data science, learners can improve the efficiency and scalability of their data science projects, making them more competitive in the job market. The course is designed to be industry-relevant, with a focus on the latest tools and technologies used in data science, including Python, R, and SQL. Learners will also gain hands-on experience with popular data science frameworks and libraries, such as pandas, NumPy, and scikit-learn. Overall, the Professional Certificate in Object-Oriented Programming for Data Science is an excellent choice for anyone looking to enhance their skills in data science and gain a competitive edge in the job market.

Who is Professional Certificate in Object-Oriented Programming for Data Science for?

Data Scientists who work with large datasets, are looking to expand their skillset and stay ahead of the curve in the UK job market, where 70% of data science roles require proficiency in object-oriented programming.
Business Analysts with a background in computer science, seeking to transition into data science and leverage their existing knowledge of object-oriented programming to drive business growth, with 60% of UK businesses relying on data-driven decision making.
Software Developers looking to specialize in data science and machine learning, and gain a deeper understanding of object-oriented programming principles, with 55% of UK tech companies investing in data science initiatives.
Academics and Researchers in computer science and related fields, seeking to stay up-to-date with the latest advancements in object-oriented programming and its applications in data science, with 40% of UK universities offering data science courses.

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Course content

• Object-Oriented Programming Fundamentals • Data Structures and Algorithms • Object-Oriented Design Principles • UML and Class Diagrams • Object-Oriented Programming in Python • Data Modeling and Entity Relationship • Object-Oriented Databases and NoSQL • Machine Learning with Object-Oriented Programming • Data Science with Object-Oriented Programming • Advanced Object-Oriented Programming Concepts

Assessments

The assessment process primarily relies on the submission of assignments, and it does not involve any written examinations or direct observations.

Entry requirements

  • The program operates under an open enrollment framework, devoid of specific entry prerequisites. Individuals demonstrating a sincere interest in the subject matter are cordially invited to participate. Participants must be at least 18 years of age at the commencement of the course.

Fee and payment plans


Duration

1 month
2 months

Course fee

The fee for the programme is as follows:

1 month - GBP £149
2 months - GBP £99 * This programme does not have any additional costs.
* The fee is payable in monthly, quarterly, half yearly instalments.
** You can avail 5% discount if you pay the full fee upfront in 1 instalment

Payment plans

1 month - GBP £149

2 months - GBP £99

Accreditation

This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognized awarding body or regulatory authority.

Continuous Professional Development (CPD)

Continuous professional development (CPD), also known as continuing education, refers to a wide range of learning activities aimed at expanding knowledge, understanding, and practical experience in a specific subject area or professional role. This is a CPD course.
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The programme aims to develop pro-active decision makers, managers and leaders for a variety of careers in business sectors in a global context.

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