DATA SCIENCE & MACHINE LEARNING

Designed to give you hands‑on experience on DevOps tools and best practices about continuous development, continuous testing, and configuration management, including continuous integration and deployment and continuous monitoring of the software throughout its development life cycle.

Program Cost

Upfront: $990 (Discounted)

Bootcamp Duration

8 Weeks

Bootcamp Start Date

July 29th 2023 – August 15th 2023

LEARN LIVE WITH INSTRUCTORS

Three times weekly. No pre recorded content

PROJECT BASED LEARNING

Build an impressive live portfolio.

JOB ASSISTANCE PROVIDED

No pre Add on: Work 1-on-1 with a career coach.

DATA SCIENCE & MACHINE LEARNING

Designed to give you hands‑on experience on DevOps tools and best practices about continuous development, continuous testing, and configuration management, including continuous integration and deployment and continuous monitoring of the software throughout its development life cycle.

Program Cost

Upfront: $990 (Discounted)

Bootcamp Duration

8 Weeks

Bootcamp Start Date

July 29th 2023 – August 15th 2023

LEARN LIVE WITH INSTRUCTORS

Three times weekly. No pre recorded content

PROJECT BASED LEARNING

Build an impressive live portfolio.

Job assistance provided

No pre Add on: Work 1-on-1 with a career coach.

WHAT YOU’LL
LEARN

01

The foundations of data science, including data manipulation, cleaning, and visualization techniques.

02

Statistical analysis and exploratory data analysis to extract meaningful insights from diverse datasets.

03

Supervised learning algorithms such as linear regression, decision trees, and support vector machines for predictive modeling

04

Unsupervised learning techniques like clustering and dimensionality reduction to uncover patterns and structure within data.

05

Apply various data science skills, techniques, and tools to complete a project and publish a report

06

Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn

course CURRICULUM

Week 1: Introduction to Data Science

4 lessons & 2 assignments

1: Introduction to Data Science: Definition, Roles, and Skill sets 
2: Introduction to various Data Science Tools: Python, R, SQL, Jupyter Notebooks, etc.
3: Installation and Setup of Tools
4: Introduction to Python Programming: Variables, Types, Lists, and Dictionaries

Week 2: Python for Data Science

3 lessons & 2 assignments

1. Python Conditional and Looping Structures
2. Python Functions, Modules, and Libraries

3. Introduction to NumPy 

Week 3: Python Libraries for Data Science

2 lessons & 1 assignment

1. Introduction to Pandas: Series and DataFrames
2. Data Cleaning and Preparation with Pandas

Week 4: Exploratory Data Analysis (EDA)

2 lessons & 1 assignment

1. Descriptive Statistics and Visualizations with Matplotlib and Seaborn
2. EDA Case Study 

Week 5: Statistics for Data Science

2 lessons & 1 assignment

1. Correlation and Regression Analysis
2. Introduction to Bayesian Statistics 

Week 6: Introduction to Machine Learning

3 lessons & 2 assignments

1. Supervised Learning: Linear Regression
2. Supervised Learning: Logistic Regression
3. Introduction to Classification: k-NN, Decision Trees 

Week 7: Machine Learning (Continued)

3 lessons & 2 assignments

1. Unsupervised Learning: Clustering, k-Means, Hierarchical
2. Unsupervised Learning: Dimension Reduction, PCA
3. Model Evaluation and Validation: Confusion Matrix, ROC Curve, Cross-Validation (2 hours)

Week 8: Advanced Topics in Machine Learning

3 lessons & 2 assignments

1. Ensemble Methods: Random Forests, Bagging, Boosting
2. Support Vector Machines 
3. Introduction to Neural Networks 

Week 9: Natural Language Processing & Time Series Analysis

2 lessons & 1 assignment

1. Introduction to Natural Language Processing
2. Introduction to Large Language Models (LLMs) 

Week 10: Convolution Neural Networks & Recurrent Neural Networks

2 lessons & 1 assignment

1. Introduction to Convolution Neural Networks (CNN)
2. Introduction to Recurrent Neural Networks (RNN) 

Week 11: Big Data Tools

1 lesson

1. Introduction to Hadoop, Spark
2. Introduction to Visualisation: Tableau and Power BI 

Week 12: Capstone Project

2 lessons & 1 assignment

1. End-to-end Data Science Project Walkthrough (6 hours)

WHY BECOME A DATA SCIENTIST

Thriving Job Market

Data science is in high demand across industries, with a shortage of skilled professionals. As organizations increasingly rely on data-driven insights, the job market offers abundant opportunities for data scientists, ensuring excellent career prospects and job security.

Competitive Salaries

Data scientists are highly valued for their expertise, and this is reflected in competitive salary packages. Data science professionals often enjoy above-average salaries, along with additional benefits and opportunities for career growth, making it a financially rewarding field.

Versatile Skill Set

Data science encompasses a wide range of skills, including statistics, programming, machine learning, and data visualization. By acquiring these skills, you develop a versatile toolkit that can be applied across industries and domains, opening doors to diverse career paths and the ability to work on fascinating projects.

Entry-level friendly

Data Science is entry-level friendly unless some other areas of tech that are not particularly easy to break in for people without tech background

Our Talents Work Here
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Fourth

Outcomes

95%

of graduates get matched with companies as interns in 4-8 weeks

8%

of our graduates accept regular offers the first 4-6 weeks after graduating

4%

Find employment before graduating

Our talentstories

We connect learners with peers and experts from around the world, facilitating networking and collaboration opportunities.

The program will provide you with a great opportunity to switch from any work background to the data science industry. The lectures were practical and hands-on, with real-life data to work on

Paul Adeyanju Data Scientist, Fourth

"Enrolling in this course proved career-defining, offering invaluable knowledge and a guaranteed internship. It set me on a path to success, delivering everything promised—free certification, ongoing learning, and the ability to pass my sec+ on the first try."

Solomon Awuku Cybersecurity Intern

Upon completing the class, I felt confident and prepared to embark on a career in cybersecurity. The skills and knowledge I acquired have already proven invaluable, as I find myself better equipped to tackle real-world challenges and contribute to the protection of digital assets.

Raymond A. CYBERSECURITY ANALYST BLUE CROSS

"IBT Learning is an outstanding tech school, with experienced teachers. Graduates gain hands-on experience with management tools such as Git, Maven, Nexus, SonarQube, Ansible, Docker for microservices, Kubernetes for container orchestration, and Terraform for Infras as Code"

Landric N DevOps Engineer, Transportation Insight

FLEXIBLE TUITION
MADE EASY

Learn alongside other motivated students in a structured live cohort.
No more than 25 students per cohort.

Upfront Payment

Pay upfront and save on total cost

$1,399 $2000

Start Date: July 2024

Study Now. Pay Later.

No enrollment fee. Other repayment
options and financing partners
available.

$0  Upfront

Start Date: July 2024

Upfront Payment

Pay upfront and save on total cost

$1,399 $2000

Start Date: July 2024

Upfront Payment

Pay upfront and save on total cost

$1,399 $2000

Start Date: July 2024

Study Now. Pay Later.

No enrollment fee. Other repayment
options and financing partners
available.

$0  Upfront

Start Date: July 2024

Upfront Payment

Pay upfront and save on total cost

$1,399 $2000

Start Date: July 2024

Get placed or get
a refund

If you don’t get a job within six months of graduating IBT, we
will refund 100% of your tuition. Read more in our Terms of Use

Not sure?Talk to our advisors

Our program advisors will answer any questions you have about the Data Science Training Program and what it’s like to learn with IBT Learning. They’ll also discuss your background, transferable skills, interests, career goals, and more.

    By clicking 'Submit,' you confirm that we have your consent to contact you by phone, email, or text message. Calls may be recorded for training purposes. Data and messaging rates may apply.

    WHY IBT learning

    From our best-in-class instructors to our guaranteed global placement, IBT Learning Africa stands out from the competition. We are not just another online school, we are an outcome-oriented boot camp.

    World-Class
    Instructors

    We take pride in the quality of highly sought-after instructors at IBT Learning. Our up-to-date curriculum is designed and taught by the best-in-class IT professionals.

    Guaranteed
    Internships

    Get placed - or get a refund. IBT Learning partners with companies to offer straightforward internships, and enable job seekers to gain industry experience

    Affordable Tech
    Education

    We strive to keep our pricing affordable, competitive, and packed with lots of perks. Offer yourself a world-class job-oriented education without breaking the bank. Launch your career with IBT Learning Africa

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    faqs

    What Is A UX/UI Boot Camp, And How Is It Different From A Traditional College Program Or Online Course?

    A UX/UI boot camp is an intensive, focused training program designed to equip you with the practical skills and knowledge needed for a career in user experience (UX) and user interface (UI) design. Unlike traditional college programs, boot camps are shorter, hands-on, and career-oriented. They provide real-world skills in a condensed timeframe. Unlike online courses, boot camps are live, instructor-led, offering real-time interaction and mentorship.

     

    Who Is The Ideal Candidate For This Boot Camp? Do I Need Prior Design Experience Or A Background In Tech?

    Our boot camp is designed for individuals with varying backgrounds. While prior design or tech experience is beneficial, it’s not mandatory. We welcome those with a passion for design, a willingness to learn, and the dedication to build a successful career in UX/UI.

     

    What Will I Learn In This Boot Camp, And What Are The Key Topics Covered In The Curriculum?

    Our comprehensive curriculum covers a range of topics, including user research, wireframing, prototyping, visual design, usability testing, and industry-standard design tools. You’ll also work on real-world projects to build a portfolio of work that showcases your skills to potential employers.

     

    Is The Course Live And Instructor-Led, Or Are The Sessions Pre-Recorded?

    Our course is live and instructor-led. You’ll have the opportunity to interact with instructors and fellow students in real-time, ask questions, and receive immediate feedback on your work.

     

    How Will This Boot Camp Help Me Jumpstart Or Advance My Career In UX/UI Design?

    Our boot camp provides practical skills, a strong portfolio, and networking opportunities to enhance your career prospects. We also offer career services, including job search assistance and a guaranteed internship placement (if that is the learning path you chose)

     

    take YOUR first step towards
    a career in tech
    you’ll love

    take YOUR first
    step towards
    a career in tech
    you’ll love

    When you complete the form below. One of our enrollment officers will reach out to you within 12 hours to answer any questions you may have.

      By clicking 'Submit,' you confirm that we have your consent to contact you by phone, email, or text message. Calls may be recorded for training purposes. Data and messaging rates may apply.

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