Course Info
- Duration in Years: 6 Months - 1 Year
- Duration in Hours: 144 – 288 Hours
- Time Commitment: 8-9 Hrs/week
- Language: English
- Difficulty: Basic-Advance
- Pre-requisite Knowledge: None
- Training Mode: Online & Classroom
Description
What You'll Learn
Entry Requirements
Target Audience
Description
‘Big data’ is the term used to describe truly massive data sets – the ones that are so big and unwieldy that they require specialised software and massive computers to process. Companies like Amazon, Google, Facebook and YouTube generate and collect so much data every day that they have entire warehouses full of hard drives to store it all. Understanding how it works and how to think about data on this scale provides some valuable lessons for all analysts.
Driven by the need to better connect with citizens and customers and the emergence of Big Data, governments and enterprises are embarking on Business Analytics and Big Data Analytics to derive citizen and customer insights, make fact-based decisions and achieve competitive advantages. Being a Big Data & Analytics (BDA) student gives you the competitive edge to harness the real power of data analytics and turn you into the go-to person organisations consult to unlock their true potential. You can look forward to an interesting curriculum that covers broad-based topics including: data science, data analysis, data visualisation and storytelling, big data programming and machine learning.
Data analytics, big data, and predictive analytics domains are recognized as having significant and growing societal importance to organizational performance. Via this training, you’ll gain essential skills in today’s digital age to store, process and analyse data to inform business decisions. You’ll begin by examining how big data is collected and stored, before going on to explore how statistical inference, machine learning, mathematical modelling and data visualisation are used in its analysis.
It will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools via courses like big data Hadoop and spark development, data science with R-programming, MangoDB development and administration, Data Science with python, machine learning, apache spark and scala, deeplearning with tensorflow etc. By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.
You’ll become familiar with predictive analysis, dimension reduction, machine learning, clustering techniques and decision trees, before going on to look at the maths that underpins many of the tools you can use to manage and analyse big data. This training program gives you the tools and techniques that help guide organizations in the exploding field of big data and predictive analytics. You’ll learn technical concepts from leading practitioners and benefit from hands-on training with the latest industry tools.
This training will provide you with a strong foundation in analytics, tools, and statistics. It will help you use data analytics, big data, and predictive analytics to optimize performance in fields like data warehousing, data management, IT, and more. It may provide you with the necessary credentials for career promotion or other professional enrichment.
Big data indeed is a change agent that challenges the ways in which organizational leaders have traditionally made decisions. This course provides you with the confidence to articulate big data architectures to support analytics driven solutions within your organizations. This program provides hands on experience with key big data technologies used to solve data intensive problems. You will gain the knowledge and skills they need to assemble and manage a large-scale big data analytics project. Lastly, you will receive a conceptual introduction to the data structures that support machine learning algorithms and artificial intelligence use cases.
You will work to identify areas within their organization that can be improved through big data-driven implementations, and the types of improvements that can be made through analytical processes. You will be led through a series of hands-on exercises and workshops, where they will have the chance to apply the test methods and practical approaches that they are learning throughout the course. At the end of the course, you will produce an actionable big data plan and architectural diagram to be used as a blueprint proposal within your own organization.
What You'll Learn
By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative & produce an actionable big data plan and architectural diagram to be used as a blueprint proposal within your own organization.
You’ll learn to:
- Develop your own mobile and web applications with the coding and user interface skills you acquire. Also, learn the fundamentals of networking, and discover how to create your own analytics dashboard.
- Manage Big Data, such as those that Facebook and Google collect and store. Apply this critical skill in your future careers analysing how a business or an organisation is doing, before advising them on making smarter business decisions.
- To ‘mine’ Big Data for better business insights. Also, undertake more significant and complex projects that equip you with real-world work experience. You can also look forward to meaningful internships in either a local company or an overseas organisation.
- Identify a business problem and translate it to an analytics problem
- Propose and refine analytical solutions to business problems
- Collect, analyze, interpret and tell stories with data
- Utilize problem solving techniques and industry-current software tools to test analytical solutions
- Identify, test and evaluate model structures to apply to a business problem
- Develop and estimate model life cycles in terms of short and long term benefits to a business
- Identify big data application areas
- Use big data frameworks
- Model and analyse data by applying selected techniques
- Demonstrate an integrated approach to big data
- Participate effectively in a team working with big data experts.
Also By the end of the program, participants will be able to:
- Design big data implementation plans and create strategies for data driven solutions
- Explain the challenges of big data and traditional technologies like Excel
- Discuss the main challenges and advantages of Hadoop ecosystem and other big data distributed architectures
- Demonstrate and discuss key technologies for big data storage and compute, such as PostgreSQL and MongoDB
- Discuss popular machine learning algorithms and the importance of ethics in data analytics and artificial intelligence
- Deliver an architectural diagram for analytics focused use cases
Entry Requirements
- Good Communication skills with efficiency in English Language
- Pre-requisite requirements for successful attendance and completion of the following course
- A minimum of o-Level Result applicant with good knowledge about computer fundamentals and interest in programming, data science & analytics.
Target Audience
This program is suitable for individuals who have interest in solving problems taking advantage of data generated insights. Business owners or working professionals looking to deploy big data solutions in their businesses.
It is ideal for data analysts, data engineers, data scientists, as well as technically-inclined management and administrative professionals seeking to understand big data strategies, technologies and use cases.
Upon Completion of Our Career Program, You Will:
- Undergo our free career counseling sessions & then benefit from the job opportunities provided by our partner employers
- Start working once you complete your career program to gain working experience & earn more money.
Career Opportunities Available For Graduates:
- With market competition stiffening, top organizations are turning to data analytics to identify new market opportunities for their services and products. Companies are now reporting that the largest shortfall of qualified talent in Nigeria is in data analytics. The skills taught in this program are applicable across almost all sectors. In particular, these skills are especially useful for those aspiring to be or are already working as:
Our Instructors:
A Digital Marketing & Inbound Branding Strategist with over 5 years experiences at influencing business’ growth.
Ebere Josephine Uba
Microsoft & IT Security Specialist with over nine years of experience in Information and Communication Design, Deployment and Implementation.
Rilwan Akinbode
Microsoft & IT Security Specialist with over nine years of experience in Information and Communication Design, Deployment and Implementation.
Paul Oghenetega
Students' Reviews:
I think IIHT is an open door for anyone aspiring to the job of data analyst. I remember from my time at IIHT, the intensity of training and the desire to adapt knowledge to the reality of the professional world. Today, from what I learned new opportunities have opened. I recommend this school to anyone who would like to embrace a career as a data analyst.
Peter Edet
Graduate, IIHT Career
“The Big Data Analytics career program at IIHT allowed me to acquire deep knowledge on Data Science, Blockchain technology, Cloud Computing and IoT by way of classroom hands-on and project work component which reinforces the theory knowledge gained. Being a self-paced learner, the courses brought me up to quick speed to the length and breadth of the subjects; using which I was able to further pursue my learning and utilise those skills I learnt. IIHT Trainer is very knowledgeable, experienced and passionate about Data Science. The classes are engaging and productive.”
Tunde Olaniyi
Student, IIHT Career
When I started this Data Analytics program at IIHT, I wasn’t well equipped with a statistical background. In a couple of months’ time, I gained industry-level data analytics knowledge which landed me on a job way before graduation. It is hard work, there is no putting it lightly. However, it might be the best investment I’ve done for my career. Now, I’m working as a Senior Data Scientist for one of the hottest fintech companies in the Nigeria.
Paul Ossai
Student, IIHT Career
I chose the Big Data Analytics program at IIHT because I believe that data science can help to match the energy production and consumption by predicting consumer behaviors for example. Also, the means of production are becoming more and more decentralized, which requires an advanced way of electricity grid management and data science can help with this task.
Ijeoma Chuks
Alumnus, IIHT Career
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