Data Science: Junior Analyst Course
- Description
- Curriculum
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.
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.
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: 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.”
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
People who enrolled for this course, also enrolled for the following courses
| Key Account Management | Telemarketing |
| Building Relationship For Sales | Strategies For Prospecting And Lead Generation |
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.
Course details
Level
Beginner
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