Level 3 Part Time Data Science Course

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Level 3 Part Time Data Science Course

Data Science is a rapidly evolving field that combines statistics, computer science, and domain-specific knowledge to extract insights from data. Our Level 3 Part Time Data Science Course is designed for individuals who want to upskill in data science and drive business growth.

Targeted at working professionals and those with a basic understanding of statistics and programming, this course covers essential data science concepts, including machine learning, data visualization, and data mining.

Through a combination of online lectures, practical assignments, and group projects, learners will develop skills in data analysis, interpretation, and communication.

By the end of the course, learners will be equipped to apply data science techniques to real-world problems and drive business decisions.

Join our Level 3 Part Time Data Science Course and take the first step towards a career in data science. Explore our course details and start your journey today!

Data Science is the backbone of modern business, and our Level 3 Part Time Data Science Course is designed to equip you with the skills to thrive in this field. By the end of the course, you'll gain a deep understanding of Data Science concepts, including machine learning, statistics, and data visualization. You'll also develop practical skills in tools like Python, R, and SQL, and learn to apply Data Science techniques to real-world problems. With this course, you'll unlock Career Prospects in data analysis, business intelligence, and more. Our expert instructors will guide you every step of the way.



Benefits of studying Level 3 Part Time Data Science Course

Data Science Course is a highly sought-after skill 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 Society of Arts. The demand for data scientists is driven by the increasing use of big data and analytics in various industries, including finance, healthcare, and retail. A Level 3 Part Time Data Science Course provides learners with the necessary skills and knowledge to succeed in this field. The course covers topics such as data preprocessing, machine learning, and visualization, which are essential for data scientists. Statistics on the demand for data scientists in the UK are as follows:

Industry Number of Data Scientists
Finance 12,000
Healthcare 8,000
Retail 6,000
Total 26,000
According to a survey by Glassdoor, the average salary for a data scientist in the UK is £65,000 per year, with the highest-paying industries being finance and healthcare.

Career path

UK Job Market Trends: Data Science
Data Scientist
Analyze complex data sets to gain insights and inform business decisions. Develop predictive models and collaborate with cross-functional teams.
Business Analyst
Use data analysis and interpretation to drive business growth and improve operational efficiency. Develop and implement data-driven solutions.
Quantitative Analyst
Develop and implement mathematical models to analyze and manage risk. Collaborate with cross-functional teams to drive business growth.

Learn keyfacts about Level 3 Part Time Data Science Course

The Level 3 Part Time Data Science Course is designed to equip students with the skills and knowledge required to succeed in the field of data science.

Upon completion of the course, students can expect to achieve the following learning outcomes:

• Develop a deep understanding of data science concepts, including machine learning, statistics, and data visualization.

• Acquire hands-on experience with data science tools and technologies, such as Python, R, and SQL.

• Learn to extract insights from complex data sets and communicate findings effectively to both technical and non-technical stakeholders.

The course duration is typically 12 months, with students attending one module per month.

The course is designed to be flexible, with students able to balance their studies with work and other commitments.

The Level 3 Part Time Data Science Course is highly relevant to the industry, with many employers seeking data scientists with skills in machine learning, data visualization, and data mining.

Graduates of the course can expect to secure roles in data analysis, business intelligence, and data science, with salaries ranging from £40,000 to £70,000 per annum.

The course is also relevant to those looking to transition into a data science career, with many students progressing to senior roles or starting their own data science consulting businesses.

Who is Level 3 Part Time Data Science Course for?

Ideal Audience for Level 3 Part Time Data Science Course
Individuals with a strong foundation in mathematics and statistics, such as those with a GCSE grade 9-5 in maths and statistics, or equivalent qualifications, are well-suited for this course.
Those with a background in IT, business, or a related field, who wish to transition into a data science career, will also benefit from this course, with 1 in 5 data science jobs in the UK requiring a degree in a related field.
Prospective learners should have basic programming skills, such as Python or R, and be comfortable with working with data, as 70% of data science roles in the UK require proficiency in programming languages.
The course is designed for those who want to gain practical skills in data science, with 9 out of 10 students going on to secure employment or further study in the field, and a median salary of £40,000 in the UK.

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Course content

• Data Wrangling with Python: This unit focuses on data cleaning, preprocessing, and manipulation using popular Python libraries such as Pandas, NumPy, and Matplotlib. Students will learn to handle missing data, data normalization, and data transformation.
• Machine Learning Fundamentals: This unit introduces students to the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. Students will learn to implement machine learning algorithms using popular libraries such as Scikit-learn and TensorFlow.
• Data Visualization with Tableau: This unit teaches students how to create interactive and dynamic visualizations using Tableau, a popular data visualization tool. Students will learn to connect to various data sources, create dashboards, and share insights with stakeholders.
• Statistical Modeling with R: This unit focuses on statistical modeling using R, a popular programming language for statistical computing. Students will learn to fit linear regression models, generalized linear models, and time series models, and interpret the results.
• Data Mining with Python: This unit introduces students to the basics of data mining, including data preprocessing, feature selection, and model evaluation. Students will learn to implement data mining algorithms using popular libraries such as Scikit-learn and XGBoost.
• Natural Language Processing with NLTK: This unit teaches students how to work with text data using the Natural Language Toolkit (NLTK), a popular library for NLP tasks. Students will learn to perform text preprocessing, sentiment analysis, and topic modeling.
• Deep Learning with Keras: This unit focuses on deep learning using Keras, a popular deep learning library. Students will learn to build neural networks, implement convolutional neural networks, and perform image classification.
• Data Storytelling with Power BI: This unit teaches students how to create interactive and dynamic reports using Power BI, a popular business intelligence tool. Students will learn to connect to various data sources, create dashboards, and share insights with stakeholders.
• Predictive Analytics with Python: This unit introduces students to the basics of predictive analytics, including regression, classification, and clustering. Students will learn to implement predictive models using popular libraries such as Scikit-learn and TensorFlow.
• Data Science with SQL: This unit teaches students how to work with databases using SQL, a popular query language. Students will learn to design databases, create queries, and perform data analysis using SQL.

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

Discover further details about the Level 3 Part Time Data Science Course

Why choose LSPM ?

  • ✓ Experience online study like never before with our purpose built smart learning tools which gives you advantage of studying anytime and anywhere.
  • ✓ Flexible fee payment plans: Pay fee in affordable monthly, quarterly or yearly instalments plans.
  • ✓ Fast track mode - get your qualification in just 6 months!
  • ✓ Dedicated Tutor Support via live chat and email.

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