- Querying and importing structured and unstructured data from various sources such as SQL, .txt, .csv, JSON and via APIs
- Statistical programming with Python, R or Scala
- Employing a range of statistical techniques to exploring, wrangling and modelling the data in no/low-code interfaces
- Advanced knowledge of deep learning, NLP, and NLG
- Business acumen and domain knowledge
- Basic knowledge of Microsoft Excel. Experience of using other apps of the Microsoft Office suite (i.e. Word, Power Point).
- Previous experience and degree in data-related disciplines is an advantage.
- Be passionate about data and technically minded.
- Enjoy programming and statistics.
Data Scientists extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, to help businesses solve problems in innovative ways.
This intensive Data Science Career Programme will train you to design and build best practice machine and deep learning pipelines to solve real business problems and help predict what an organization’s clients or customers will do next. You will be fully equipped with the knowledge, skills and experience required to get a relevant role upon completion of the programme
Job Roles you Will Qualify for:
- Data Scientist
- Predictive Modelling Analyst
- Data Scientist / Analyst
- Big Data Analyst
Courses you
Will Learn:
Introduction to Data Science
Introduction to Programming with Python- Developing Queries with Microsoft SQL Server
- Analytics and Reporting with Microsoft Power BI
- Data Science Best Practice - MLOps
- Predictive Analytics & Machine Learning with Python
Statistics & Data Wrangling for Analytics - Deep
Learning with Tensor Flow & Natural Language Processing with Pytorch
This Programme Will Offer to You the Following
Services:
- Job Specific Training and Mentoring
- Hands-on Business Practice
- Project-based Work Experience (optional)
- Professional Certification
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Suitable
Participants
It is suitable for anyone who is considering a change in their career or just starting their career with little or no background in analytics and data science.
Training Deliver Method:
- Virtual Classroom Platform (Online) - Daytime: 9:30am - 4:30pm (13 Full Days), or Evening: 6:30pm - 9:30pm (26 Half Days).
- (Compulsory) Course Assignments: 10-15 Days per Course
Additional Services Related To This Course (available for signing up):
- (Optional) Hands-on Work Experience: Acquire work experience by undertaking real-life projects. Delegates will be able to work on some of the most popular problems businesses across industry sectors are facing and need urgent solutions.
- (Optional) Career Support: Our optional Career Support Package will give you a further leverage to get to your dream job and achieve your career ambition in the shortest time. The Package including CV Surgery and Interview Consultancy is available for subscription as an additional service to this training programme.
Please enquire our Consultants for more information
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Pairview was established in 2009 as a business analytics consultancy and technology training company. Pairview is headquartered in London and rapidly expanding across the EMEA region. Pairview drives big data, analytics, and performance innovation within organisations through its range of products and services. Pairview works alongside businesses as a trusted partner, enhancing expertise, closing skills gaps and developing their Analytics Centre of Excellence to drive improvements to productivity, profitability and business growth. We also work with ambitious individuals to transform their careers by offering highly specialised training programmes and recruitment services in data and analytics.
We take pride in having a strong team of industry experts and certified technology specialists who are thought leaders in digital and analytical transformation and have extensive experience in major industry sectors including banking, financial services, insurance, telecommunications, energy, business services, and so on. Our expert knowledge, flexibility, and tailored supportive approach sets us apart in our quest to offer the highest quality services to our clients.
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