Data Science: Senior Analyst
- Description
- Curriculum
Data Science: Senior Analyst Course Overview
The Data Science: Senior Analyst Course is meticulously crafted for experienced professionals aiming to advance their careers in the dynamic field of data science. This advanced program delves deep into the intricacies of data analysis, machine learning, and predictive modeling, equipping participants with the expertise to solve complex data-driven challenges and drive strategic decision-making within organizations. Participants will have access to cutting-edge data analysis tools and platforms, enabling them to tackle sophisticated data problems and derive actionable insights from large and complex datasets. At the end of the training, participants will learn master advanced data analysis techniques, including data preprocessing, feature engineering, and dimensionality. reduction.
Who Should Attend
- Data analysts, data scientists, and business intelligence professionals with a strong foundation in data analysis and machine learning who seek to advance their careers and deepen their expertise in data science.
- Mid- to senior-level executives in various industries who recognize the strategic importance of data science in driving business growth and innovation and aspire to leverage data-driven insights to achieve organizational objectives.
- Individuals looking to transition into leadership roles or enhance their skills in data science to pursue opportunities in senior-level positions or specialized domains within the field.
- Data enthusiasts and aspiring data science leaders who are passionate about harnessing the power of data to solve complex problems, drive innovation, and make a meaningful impact in their organizations and industries.
Advanced Machine Learning and Deep Learning
- Advanced machine learning and deep learning algorithms.
- Hyperparameter tuning, model optimization, and implementing deep learning models using TensorFlow or PyTorch.
Big Data and Distributed Computing
- Advanced big data tools and distributed computing platforms.
- Handling large-scale data and complex data pipelines using Power BI and big data technologies.
Data Science for Business
- Applying data science to solve real business problems.
- Communication, presentation skills, and advanced reporting with Power BI for data scientists
Victor Momoh
Victor Momoh is an accomplished Software Engineer with a wealth of experience and expertise in building innovative software solutions. Currently serving as the CTO at Devatom .inc, Victor leads a team of skilled software engineers in developing bespoke software applications tailored to meet client specifications. His proficiency extends across various domains, from frontend and backend web development to mobile and desktop app development, utilizing technologies such as HTML, CSS, JavaScript, React JS, Next JS, Node JS, PHP, React Native, Flutter, and Electron JS. Victor’s adeptness in cloud computing platforms like Microsoft Azure and AWS, coupled with his UI/UX design skills and Git version control proficiency, makes him a versatile asset in any software development project.
Prior to his role at Devatom .inc, Victor has demonstrated his expertise in various capacities, including as a Web Designer at Opera Ads, where he crafted landing pages to promote client products and services, and as a Web Developer/Graphics Designer at Pointsource, where he handled both frontend and backend development, SEO, and graphical design for web applications. Victor’s educational background includes pursuing a Bachelor’s degree in Computer Science at the University of the People, US, building upon his foundation in Mechanical Engineering from Lagos State Polytechnic. With a robust portfolio of projects spanning web and mobile applications such as Total Trailer Parts, FastRide9ja, Green Built, Lrnythn, Ticketsmaster, Oyo Election Management, Chewing Gum Stays, and Fitila Africa, Victor has consistently demonstrated his ability to deliver high-quality solutions that meet client needs effectively and efficiently.
Participants enrolling for this programme will be required to have basic computing skills. Participants who meet the programme requirement should pay the course fee and complete the enrollment form 2 weeks before the programme kick off date.
Prospective applicants who do not meet the programme requirement but wants to join the programme should should follow the process detailed below.
Application Process
- Start a chat with the online course adviser or complete the application form
- Application will be reviewed by programme committee
- Application acceptance will be communicated by programme committee
- Pay the programme fee after receiving acceptance from the committee
- Check your mail for programme schedule and payment confirmation
Data Science: Senior Analyst Course Fees
Standard |
₦200,000 |
Standard Plus |
₦250,000 |
Professional |
₦450,000 |
Professional Plus |
₦500,000 |
Standard |
₦150,000 |
Training Delivery Virtual |
Duration 4 Weeks |
Manual & Cases (PDF) |
Templates & Exam Guide (PDF) |
Training Certificate (PDF) |
Project with final grading |
Refreshment |
x |
x |
Perks |
x |
x |
Additional Services |
– |
– |
CV Development | LinkedIn Optimization Available at N5000 |
Standard Plus |
₦200,000 |
Training Delivery Virtual |
Duration 4 Weeks |
Manual & Cases (PDF) |
Templates & Exam Guide (PDF) |
Training Certificate (PDF) |
Project with final grading |
Refreshment |
x |
x |
Perks |
x |
x |
Additional Services |
Exam Application |
Job Alerts |
CV Development | LinkedIn Optimization 1 Package Included |
Professional |
₦250,000 |
Training Delivery Classroom |
Duration 4 Weeks |
Manual & Cases Flash Drive (PDF) |
Templates & Exam Guide Flash Drive (PDF) |
Training Certificate Hard Copy |
Project with final grading |
Refreshment |
Tea Break |
Lite Lunch |
Perks |
x |
Notepad & Pen |
Additional Services |
Exam Application |
Job Alerts |
CV Development | LinkedIn Optimization 1 Package Included |
Professional Plus |
₦300,000 |
Training Delivery Classroom |
Duration 4 Weeks |
Manual & Cases Hard copy & PDF |
Templates & Exam Guide Flash Drive (PDF) |
Training Certificate Hard copy & PDF |
Project Review & grading |
Refreshment |
Maxi Breakfast |
Maxi Lunch |
Perks |
Back Pack |
Notepad & Pen |
Additional Services |
Exam Application |
Job Alerts |
CV Development | LinkedIn Optimization Both Package Included |
Data Science: Senior Analyst Course Fees & Dates for Upcoming Classroom Classes In 2024
Piston and Fusion offer the Course as Classroom in Lagos and Virtual Online Class in other states in Nigeria. See dates and fees for classroom and virtual online class.
Programme Information
Course Objective: | The Programme focus is to help participants lead data-driven initiatives within organizations, communicate findings effectively to stakeholders, and drive strategic decision-making based on data insights. |
Classroom | |
Weekday Date: | Contact Us For Next Schedule |
Weekend Date: | Contact Us For Next Schedule |
Location: | 122a Obadina Street, Omole Phase 1 Ikeja Lagos |
Virtual Class | |
Weekday Date: | Contact Us For Next Schedule |
Weekend Date: | Contact Us For Next Schedule |
Location: | Microsoft Teams | Zoom |
Why Piston & Fusion Ranked Amongst the Best Business Institute In Nigeria?
- We have trained 6000+ professionals
- We have over 10 years industry experience
- Our facilitators are experienced and certified
- We offer post training career advice and support
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All You Need To Know About Data Science: Senior Analyst Course
What skills and prerequisites are required to enroll in the course?
Participants should have a solid understanding of basic data analysis, statistical modeling, machine learning algorithms, and programming languages such as Python or R.
Will the course prepare me for career advancement in data science?
Yes, upon completion of the course, participants will have the skills and knowledge needed to pursue senior-level roles in data science, such as senior data analyst, data science manager, machine learning engineer, or data science consultant. The course would also provide networking opportunities for networking and career support.