Data Science: Senior Analyst Course

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

Hope Okunmahie

I am Hope Okunmahie, a sales and marketing expert with almost a decade of experience. I facilitate sales & marketing programs at Piston & Fusion Business Academy. I am currently the team lead for the Sales and Business Development unit at P&F, a member of the Chartered Institute of Marketing UK, and I hold several certifications in Business Leadership, Strategic Planning & Management, Project Management, Marketing Communications, and Strategies, etc. I have trained sales teams from different industries (logistics, finance, marketing & construction) and rendered business advisory to several organizations.

Adeola Badmus

I am Adeola, my 15-year professional career has spanned several roles, organizations, and sectors. I served as a project manager in IntroIT Consulting, Head of Institute / Chief Operating Officer for the Institute for Advance e-Studies, I currently hold the position as the senior project consultant & marketing director for Piston & Fusion. My qualification includes MSc. In Marketing, BSc. In Business Administration, Digital Marketing, Data Analytics, PMP, PRINCE 2, NEBOSH, Level 3 Award in Education & Training. I have been privileged to attend some of the best institutions globally, University of Lagos, Lagos Business School, and University of Liverpool (UK). I am a member of AMA, PMI & IOSH. I have trained over 4000+ professionals in marketing, branding, project management, data analytics and other business related programmes.

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

  1. Start a chat with the online course adviser or complete the application form
  2. Application will be reviewed by programme committee
  3. Application acceptance will be communicated by programme committee
  4. Pay the programme fee after receiving acceptance from the committee
  5. Check your mail for programme schedule and payment confirmation


    Data Science: Senior Analyst Course Fees

    Standard
    ₦150,000
    Standard Plus
    ₦200,000
    Professional
    ₦250,000
    Professional Plus
    ₦300,000
    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 Fee: ₦100,000 | $160
    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.