Advanced Level: Mastering Data Science
Course Summary
This advanced course is designed for those who want to deepen their expertise in Data Science. Over 4 weeks, participants will master techniques in deep learning, model deployment, and advanced analytics. By the end of this course, learners will be capable of implementing and managing full-scale data science projects in professional settings.
Course Outline
- Week 1: Deep Learning Fundamentals
- Introduction to neural networks
- Building deep learning models (TensorFlow, Keras)
- Applications of deep learning (image, text, voice data)
- Week 2: Model Deployment and Optimisation
- Deploying models using cloud platforms (AWS, Google Cloud)
- Real-time data processing and model monitoring
- Optimising models for performance and scalability
- Week 3: Advanced Predictive and Prescriptive Analytics
- Prescriptive models for decision-making
- Advanced time series analysis
- Real-world case studies
- Week 4: Final Capstone Project
- End-to-end project development and deployment
- Presenting solutions to real business challenges
- Feedback and review
Learning Objectives
- Master deep learning techniques and their applications
- Learn to deploy models in real-world settings
- Use advanced analytics to provide data-driven solutions
- Build and lead data science projects in professional environments
Who Should Attend
- Data scientists ready to advance to the expert level
- Professionals managing large-scale data projects
- Individuals wanting to master the end-to-end data science pipeline
ODERA SBM wants to match the average pace of the batch. Write an assessment to find your suitability before deciding your levels. Your counselor will recommend the best program based on your educational background, experience and career goals.
Learners’ segmentation is critical to maintain quality of delivery. Participants with similar experience and age group will enhance motivation and balance the pace of training. An aspirant should join a program which is progressive
As you proceed to higher stages, the difficulties in modules increase. Modules become more technical leading to higher cost of operation. Since the basics and concepts are covered under level 1, adding next level of tools and modules will reduce the learning curve.
Yes. You can enroll. However, the duration of this program is approx. 6 months if you have not completed Level 1 and Level 2
ODERA SBM has developed this as an USP of the programs. Job assistance, preparation for interviews, job identification, resume building and sending for interviews are our responsibilities provided a learner fulfills the academic requirements.
ODERA SBM strict and stringent in certification process. A learner must meet the required attendance, clear the quizzes with required pass percentage, clear group discussions and clear the assignments/projects within stipulate timelines.
ODERA SBM is a registered company with Nigeria in collaboration with ABSC Analytics, India. The Chief Instructor is a certified professional and he has the authority to certify learners.
ODERA SBM is also applying with Nigeria Skill Development ministry for accreditation. Learners can also apply for certification on Coursera, IBM, Google by writing tests, if required. However, employers seek for knowledgeable candidates and weightage given to certification bodies are low.
Pre-placement test is an assessment between certification and placement. Pre-placement assessment has been designed to evaluate the learning score for forwarding the profile for job interviews.
All payments must be made online via our website www.oderasbm.com
We do not accept any cash.
As ODERA SBM has designed a low-cost program, payment for each stage will be collected in lump sum. As we are flexible, an exception can be provided only to genuine cases if approved by competent authority of ODERA SBM.
Scholarship criteria will be drafted in accordance with universities and school norms and announced before enrolment.
ODERA SBM recommends to combine maximum of 3 levels for an excellent discount. It is recommended to taste the pudding before filling a plate.
ODERA SBM has designed a low-cost program. Refund is not possible. However, decision will be taken based on case to case. As ODERA SBM counsels, explains the programs, holds webinar, provides access to past video links and training offer letters are duly signed by both the parties, refund leads to huge revenue loss to the company.
Requirements
- Basic understanding of programming languages like Python or R.
- Prior knowledge of machine learning concepts and algorithms is beneficial but not mandatory.
- Access to a computer with internet connectivity for accessing course materials and completing assignments.
Features
- 100% OF THE PROGRAMS ARE OFFLINE/OR/AND ONLINE THROUGH FACE TO FACE /OR/AND VIRTUAL LIVE SESSIONS BY INDUSTRY EXPERTS
- ALL SESSIONS WILL BE RECORDED FOR SELF PACED STUDY AND REVISION
- END TO END ASSIGNMENTS/PROJECTS ON REAL INDUSTRY DATA EVALUATED BY INDUSTRY EXPERTS
- PRESNTATION OF BUSINESS REPORT BY TRAINEES TO GROUPS AND VISTING INDUSTRY EXPERTS
- CONTINUOUS GROOMING FOR INTERIEWS BY TRAINERS AND VISTING EXPERTS
- INTERNSHIP AND JOB ASSISTANCE THROUGH COMPANIES, NETWORKS AND RECRUITING AGENCIES
- ALL PROGRAMS INCLUDE SEVERAL WORKSHOPS ON BUSINESS COMMUNICATION, LEADERSHIP & MANAGEMENT SKILLS
- 24*7 ACCESS TO PLATFORM
- 24*7 ACCESS TO MENTORS AND TRAINERS FOR QUERIES & CLARIFICATIONS
- JOB INTERVIEW ACCESS FOR 3 MONTHS POST CERTIFICATION
- HANDHOLDING FOR 6 MONTHS AFTER YOUR ENTRY INTO A COMPANY
Target audiences
- Professionals who have completed LEVEL 1- NOVIC
- Data Scientists and Analysts
- Business Analysts and Managers
- Software Engineers and Developers
- IT Professionals