Hours of Learning
240 Hours
DURATION
One Year
Mode of Learning
Online
Fees
£ 300
About the Programme
Certificate in Data Analytics from ISDC is an IoA Endorsed Programme.The curriculum provides the learners with the pivotal knowledge and skills to pursue a prominent and lucrative profession in the field of analytics. The programme curriculum on Data Analytics comprises of 6 modules namely, Python Programming, Big Data Analytics, Natural Language Processing, Machine Learning and Artificial Intelligence, Deep Learning and Cloud Computing.
Programme Highlights
- Enables learners to achieve Student Membership at the time of Enrollment.
- Progression to IoA Associate Membership upon Completion of the programme.
- Faster Progression to further Membership Grades.
- IoA works with Government, Academia and the Corporate Business Sectors to promote cooperation, research and employment growth in the Analytics & Data Science Sectors.
- Addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making.
- Gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices and know-how to adapt to these changes.
The Institute of Analytics (IoA)
The Institute of Analytics (IoA) is the UK based professional body for analytics & data science professionals across the world. IoA is a not-for-profit organisation that is committed to advancing the study and application of analytics & data science in society and it exist to promote greater awareness, understanding and innovation in analytics & data science.
The IoA provides members with the opportunity to network with other analytics & data science professionals, learn about career progression, share knowledge and expertise, access Continuous Professional Development programs, and to carry the official designation of the Institute.
By becoming an IoA member, you join the largest community of analytics & data science professionals whilst also keeping your knowledge and expertise up to date with the latest developments and trends that can help you expand your horizon into the ever-evolving world of analytics & data science.
Benefits of IoA Membership
- Access to Our Web Portal Containing the Latest Analytics News.
- Invitations to Exclusive, Member-Only Webinars.
- Networking Opportunities with Like-Minded Professionals.
- Annual & Regional Conferences.
- Peer Support Via Our Online Tech Support Forum.
- Access to Our Online CPD Log with access to record any training and development activities.
- Use of a Digital Badge to show you are a Member of the IoA.
- Use of the Official Designation of the IoA once you have achieved Associate Member status or higher.
Eligibility
Any Graduate with Computer Science, Information Technology or Electronics and Telecommunication domains such as BCA, MCA, BTech (IT, CS, ECE), MTech (IT, CS, ECE), BSc-CS, and MSc-CS.
Career Prospects
If you’re thinking about a career in analytics, an IoA accredited course will help you achieve your goal.
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- Data Engineer
- Data Analyst
- Machine Learning Engineer
- Data Journalist
- Database Admin
- Financial Analyst
- Business Analyst
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- Product Analyst
- Business Intelligence Analyst
- Marketing Analyst
- Quantitative Analyst
- Data Visualisation Specialist
- Functional Analyst
- Data System Developer
Programme Curriculum
Python Programming module is intended for students who wish to learn the Python programming language. This module is highly important so as to proceed with this programme. The module comprises of Programming basics with regards to Python Language such as Data Types, Operators, Functions, Classes and Exception Handling.
This module forms an introduction as well as an in-depth study in the field of Big Data and Hadoop. It comprises of the fundamentals as well as advanced topics needed to progress in this technology. The students will learn about the applications, usage and several use case scenarios pertaining to Big Data- Hadoop where they can use the knowledge and progress ahead.
The following module aims to provide an exposure to students based on Natural Language Processing Techniques, Algorithms and Analytics based on Textual Data. The module comprises of NLP basics, Feature Extraction, Relationship Extraction, Text Categorisation, Clustering and Topic Modelling Algorithms and Practices.
This module comprises of conceptual, statistical and Machine Learning algorithms. It covers all the necessary models pertaining to Machine Learning such as Regression, Decision Trees, Support Vectors, Clustering, Association Analysis and Dimensionality Reduction.
This module forms an introduction as well as an in-depth study in the field of Deep Learning. The module enlists all the necessary and fundamental topics needed to learn Deep Learning and its applications. Starting from the basics of Deep Neural Networks, the module progresses through the Regularisation, Optimisation, Convolutional Neural Networks, Sequence Analysis and Applications in Real World Scenarios.
This course provides a unified and a fundamental overview of the broad field of Cloud Computing Technology. The students will be able to gain an understanding of the Cloud Architecture, Virtualisation, Migration and different Programming Models employed under Cloud Computing.
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