delivery
Classroom & Virtual
duration
6 weeks
enrolled students
9,999
overview
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 analyse 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 analysing 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 organisations.
Learning Outcomes
By the end of the Project Management Professional (PMP) course, participants will be able to:
- Gain foundational knowledge of data science concepts and methodologies.
- Learn data wrangling and cleaning techniques using Python libraries like Pandas.
- Master exploratory data analysis (EDA) techniques to uncover data patterns and trends.
- Create data visualizations to effectively communicate insights from data analysis.
- Get introduced to machine learning algorithms and their applications.
Curriculum
Introduction to Data Science
Data Wrangling and Cleaning
Exploratory Data Analysis (EDA)
Introduction to Machine Learnin
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 visualisation using Python and libraries like Seaborn.
Introduction to Machine Learning
Machine learning fundamentals and supervised learning algorithms.
Model evaluation and validation.
who attends
Right For You
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.
Requirements:
- 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 skills.
- 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.
Prospective applicants who do not meet the programme requirement but want to join the programme should talk to a Career Advisor.
Key Program Features
Training
The Data Science: Junior Analyst Course training approach employs hands-on learning, which imparts the skills required for specific job roles.
Internship & Projects
The Data Science: Junior Analyst Course course provides up to 4 months of internship while working on real work projects, which adds expertise and verifiable work references in the resident country.
Career Development
The Data Science: Junior Analyst Course course assists participants in securing a job through the development of a professional profile and job prospecting.
teaching team
Meet Your Facilitator(s)
testimonials
What Participants Said
The P&F Experience
Piston & Fusion Business Academy empowers individuals and businesses to achieve their professional goals through a variety of innovative courses, programs, and career services.
course schedule
The Schedule For This Course
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.
Classroom
Weekdays
Contact Us
Weekends
Dates:
2nd Aug – 6th Sep, 2025
Days:
Sat
Time:
8:30am – 3:30pm
Duration:
6 weeks
Virtual
Weekdays
Contact Us
Weekends
Dates:
2nd Aug – 6th Sep, 2025
Days:
Sat
Time:
8:30am – 3:30pm
Duration:
6 weeks
fees
What It Will Cost
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.
₦200,000
₦300,000
Standard
₦200,000
Virtual Only
Course Materials
Certificate
Manual, Cases & Templates
Mentorship
-
Refreshment
-
Perks
-
-
Additional Services
-
-
₦200,000
₦300,000
Professional
₦300,000
Classroom & Virtual
Course Materials
Print & PDF
Certificate
Manual, Cases & Templates
Mentorship
-
Refreshment
Teabreak & Lunch
Perks
Souvenir
Notepad & Pen
Additional Services
-
-
apply now
Ready to Join the Course?
This programme is designed for executives tasked with igniting innovation within their organisations, or who seek to create innovative solutions to a major challenge.
How to Apply:
- Check the website to select a course of choice and fee.
- Pay the registration fee and tuition to P&F account domiciled at First Bank
- DETAILS Account Name: Piston & Fusion Ltd Account Number: 2015242578 Bank: First Bank of Nigeria
- Send your name, phone no, email, training location, amount paid & proof of payment to fees@pistonandfusion.org
- Complete the enrollment form ONLY AFTER PAYMENT
- CASH PAYMENTS ARE NOT ALLOWED, ALL PAYMENTS MUST BE MADE TO THE COMPANY’S ACCOUNT.
Reserve a slot
FAQs
Frequently Asked Questions
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 visualisation. A junior data analyst typically assists in analysing data, creating reports, and providing insights to support decision-making processes within organisations.
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.
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.
Upon successful completion of the course, you will receive a certificate showing that you completed the course.
Yes, we may be able to reschedule your course. Please contact our customer support team for more information and to discuss your specific request.