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Data Science: Junior Analyst Course

Data Science: Junior Analyst Course Overview

The Data Science: Junior Analyst Course is designed for individuals aspiring to kickstart their career in data science. This comprehensive program provides participants with the knowledge and skills required to analyze data, extract insights, and make data-driven decisions. The course will be delivered through a combination of engaging lectures, interactive workshops, coding exercises, and practical projects. Participants will have access to industry-standard data analysis tools and platforms, enabling them to gain practical experience in analyzing real-world datasets. By the conclusion of the course, participants will be well-equipped to embark on entry-level roles as data analysts and contribute effectively to data-driven decision-making processes within organizations.

Who Should Attend

  • Individuals with a background in mathematics, statistics, computer science, or related fields who are looking to enter the field of data science and kickstart their career as junior data analysts.
  • Working professionals currently employed in data-related roles or other fields who want to transition into data science and enhance their analytical.
  • Anyone passionate about working with data and eager to learn data analysis techniques, regardless of their prior experience or educational background.
  • Professionals from diverse backgrounds who are interested in exploring opportunities in data science and are willing to learn new skills to pursue a career in this rapidly growing field.

Programme Outline

Introduction to Data Science

  • Introduction to data science and its role in decision-making.
  • Python programming fundamentals.

Data Wrangling and Cleaning

  • Data wrangling techniques using Python, Pandas, and Power Query (Power BI)
  • Handling missing data and outliers.

Exploratory Data Analysis (EDA)

  • Advanced EDA techniques.
  • Data visualization using Python and libraries like Seaborn.

Introduction to Machine Learning

  • Machine learning fundamentals and supervised learning algorithms.
  • Model evaluation and validation.

Facilitators

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.

Enrollment Criteria

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

Enroll Now


    Data Science: Junior Analyst Course Fees

    Standard
    ₦120,000
    Standard Plus
    ₦150,000
    Professional
    ₦200,000
    Professional Plus
    ₦250,000
    Standard
    ₦120,000
    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
    ₦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
    Exam Application
    Job Alerts
    CV Development |
    LinkedIn Optimization
    1 Package Included
    Professional
    ₦200,000
    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
    ₦250,000
    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: Junior 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 understand the fundamentals of data science, including data types, data structures, and data manipulation techniques.
    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
    Anthony Ani
    “Relocating to Canada was the most challenging decision I and my family had to make, the uncertainties of a new country. I was determined that I won't risk everything to start earning minimum wage. I took my PMP training with Piston & Fusion, earned my certification at the first attempt, and to be honest it has elevated my career trajectory”
    Gabriel Eluke (Human Resources/Admin) | Netcom Africa Limited
    "I became a professional Human Resource personnel after my training with piston and Fusion. It brought a great turn around to my career and remains one of the best decisions I ever took. "
    Okhueleigbe Usifo (Construction safety officer/ OFA) | Beedie Construction Canada
    "The firm I worked with in Abuja had not paid salaries for 5 months, I decided to leave the country, and left for Dubai. I applied for a safety officer vacancy, out of 15 applicants I was the only person that was selected with HSE level 1, 2 and 3 certificate. I thought getting a job here would be difficult but my certificate helped me."
    Uju Edinbus | Perform Group (Goal.com)
    "I wanted to change my job, I needed something to give me the advantage to switch jobs. My friend advised I take a digital marketing course, after the training I started prospecting jobs, I got a call for my first interview, at the interview I was grilled extensively on my credentials, thanks to my digital marketing knowledge I got what I will describe as my dream job."
    Mojisola Mosuro PMP | ExxonMobil
    “As a fresh graduate I knew getting a good job would be a challenge. I researched online for a professional course to boost my CV, and I found P&F Project Management course. I completed the course. I have since changed jobs 3 times. Project Management. was the best Decision I made.”
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    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: Junior Analyst Course

    What Is Data Science, And What Does A Junior Data Analyst Do?

    Data science is an interdisciplinary field that involves extracting insights and knowledge from data through various techniques such as data analysis, machine learning, and data visualization. A junior data analyst typically assists in analyzing data, creating reports, and providing insights to support decision-making processes within organizations.

    What Skills Do I Need To Become A Junior Data Analyst?

    To excel as a junior data analyst, it’s essential to have strong analytical skills, proficiency in programming languages such as Python or R, knowledge of statistical concepts, and familiarity with data analysis tools and techniques. Additionally, effective communication skills and the ability to work with cross-functional teams are beneficial.

    Are There Any Prerequisites For Enrolling In The Course?

    While there are no strict prerequisites, having a basic understanding of mathematics, statistics, and programming concepts can be beneficial. Participants should also be comfortable with using computers and have a willingness to learn and explore new concepts in data science.

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