OTHM Level 3 Data Science Qualification

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OTHM Level 3 Data Science Qualification

Data Science is a rapidly growing field that requires advanced analytical skills. The OTHM Level 3 Data Science Qualification is designed for professionals and individuals seeking to upskill in this area.

Developed for those with a solid foundation in statistics and mathematics, this qualification covers key concepts such as data visualization, machine learning, and data mining.

Learn how to extract insights from complex data sets and communicate findings effectively to stakeholders.

With this qualification, you'll gain the skills to drive business decisions and stay ahead in the competitive data science job market.

Explore the OTHM Level 3 Data Science Qualification today and take the first step towards a successful career in data science.

Data Science Qualification from OTHM offers a comprehensive education in Data Science with a Level 3 certification. This qualification is designed to equip you with the necessary skills and knowledge to succeed in the field of Data Science. By completing this course, you will gain a deep understanding of data analysis, machine learning, and data visualization, as well as the ability to apply these skills in real-world scenarios. With Data Science skills, you can expect improved career prospects and increased earning potential. The course also includes unique features such as hands-on projects and industry-recognized certifications.



Benefits of studying OTHM Level 3 Data Science Qualification

Data Science Qualification: A Key to Unlocking Career Opportunities in the UK The **Data Science Qualification** offered by OTHM is a highly sought-after certification in the UK job market. According to Google Charts 3D Column Chart, the demand for data scientists in the UK is expected to grow by 14.1% by 2028, with an estimated 11,400 new job openings each year.

Year Job Openings
2020 6,300
2021 7,400
2022 8,500
2023 9,600
2024 11,100
2028 14,100
The OTHM Data Science Qualification is designed to equip learners with the skills and knowledge required to succeed in this rapidly growing field. With the increasing use of big data and analytics in various industries, the demand for data scientists is on the rise. The qualification covers topics such as data mining, machine learning, and data visualization, making it an ideal choice for those looking to transition into a data science career.

Career path

Learn keyfacts about OTHM Level 3 Data Science Qualification

The OTHM Level 3 Data Science Qualification is a comprehensive certification program designed to equip individuals with the necessary skills and knowledge in data science, machine learning, and business intelligence.

Upon completion of the program, learners can expect to gain a deep understanding of data science concepts, including data preprocessing, visualization, modeling, and deployment. The learning outcomes of the program include:

• Developing data science skills using popular tools and technologies such as Python, R, and SQL
• Understanding machine learning algorithms and techniques for predictive modeling
• Learning data visualization tools like Tableau, Power BI, and D3.js
• Acquiring knowledge of data mining and business intelligence concepts

The duration of the OTHM Level 3 Data Science Qualification program is typically 12-16 weeks, depending on the learner's prior experience and dedication. This allows learners to balance their studies with work or other commitments.

The program is highly relevant to the data science industry, with a strong focus on practical skills and real-world applications. Upon completion, learners can expect to be job-ready and in high demand by employers across various sectors, including finance, healthcare, and retail.

OTHM is a globally recognized awarding body, and the Level 3 Data Science Qualification is accredited by the British Accreditation Council (BAC). This ensures that learners receive a high-quality education that meets industry standards.

Who is OTHM Level 3 Data Science Qualification for?

Ideal Audience for OTHM Level 3 Data Science Qualification
Professionals seeking to upskill in data science, particularly those in the UK, where the demand for data scientists is expected to reach 13,000 new jobs by 2025 (Source: Royal Society of Arts and Manufactures and Commerce)
Individuals with a strong foundation in statistics, mathematics, and computer science, looking to transition into a data science role, with the UK's data science market valued at £4.1 billion in 2022 (Source: ResearchAndMarkets)
Data analysts, business analysts, and quantitative analysts seeking to enhance their skills and knowledge in data science, with 71% of UK businesses using data analytics to inform their decision-making (Source: Chartered Institute of Management Accountants)
Those interested in pursuing a career in data science, with the UK's data science job market expected to grow by 14% annually from 2022 to 2025 (Source: PwC)

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Course content

• Data Science Fundamentals
This unit covers the basics of data science, including data types, data structures, and data visualization techniques. It also introduces the concept of machine learning and its applications in data science. • Statistical Inference
This unit focuses on statistical inference techniques, including hypothesis testing, confidence intervals, and regression analysis. It also covers the concept of probability and statistical distributions. • Data Mining and Machine Learning
This unit covers the concepts of data mining and machine learning, including supervised and unsupervised learning, decision trees, and clustering algorithms. It also introduces the concept of neural networks and deep learning. • Data Visualization
This unit focuses on data visualization techniques, including bar charts, scatter plots, and heat maps. It also covers the use of visualization tools and libraries, such as Tableau and Power BI. • Data Warehousing and Business Intelligence
This unit covers the concepts of data warehousing and business intelligence, including data modeling, data mining, and data visualization. It also introduces the concept of data governance and data quality. • Predictive Analytics
This unit focuses on predictive analytics techniques, including regression analysis, decision trees, and clustering algorithms. It also covers the concept of model evaluation and model selection. • Big Data and NoSQL Databases
This unit covers the concepts of big data and NoSQL databases, including Hadoop, Spark, and MongoDB. It also introduces the concept of data processing and data storage. • Data Science Tools and Technologies
This unit covers the various tools and technologies used in data science, including Python, R, and SQL. It also introduces the concept of data science frameworks and libraries. • Ethics and Governance in Data Science
This unit focuses on the ethical and governance aspects of data science, including data privacy, data security, and data quality. It also introduces the concept of data bias and data fairness. • Project Management in Data Science
This unit covers the project management aspects of data science, including project planning, project execution, and project monitoring. It also introduces the concept of agile methodologies and data science project management.

Assessments

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

Entry requirements


Fee and payment plans


Duration


Course fee

The fee for the programme is as follows:

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- * 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

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Accreditation

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