Data Science & Machine Learning Specialization
Accelerate your data career by gaining high-demand skills. Learn fundamentals of Data Science, Python, machine learning, data visualization, and more.
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About the program
The Data Science market is on exponential growth! With the huge rise of big data, tech companies around the world are recruiting Data Scientists and engineers to do the job of collecting, manipulating, and visualizing data. This online expert-led training program will prepare you to enter the market by teaching you to interpret multi-kinds of Data. Hence, you will be able to produce insights businesses can use to make better decisions and innovate in products development as well as services. The Data Science field has no limitations nor rigidity in how to make a career out of it. You just have to get started!
What will you learn
The online course on data science offered by Phi Science is a one-stop shop for all your data science learning needs. It offers you complete guidance and tutorial with resources and a hands-on learning experience. The course will take you through all the critical modules that you need to know about data science, including machine learning and programming languages. It also teaches essential concepts such as data acquisition, data mining, data processing, and data visualization.
This course is designed keeping in mind the current industry trends and skills required to become a successful data scientist. Enrolling in this specialization will take you through a learning journey of 3 phases over 4 months. Your first month will let you gain the basics of the know-how of programming with python. Additionally, to get a rooted understanding of use cases and the history of Data Science as well as its applications recently.
Your journey next moves to advance your learning with data engineering and analysis, applying ML to train algorithms, and later to visualize the prediction results to take a decision, which is expected to be accomplished within 11 weeks led by instructors and practitioners from top-notched entities. Lectures will be conducted in live, peer-to-peer sessions that allow you to meet with your instructors and your colleagues to enjoy the interactive and group-discussion classes. You will be weekly assigned to a hands-on task to leverage knowledge gained during these sessions. Students also will be working on their capstone projects during the last 2 months of this cohort. Besides the Capstone project, you'll take an End-of-Course Exam as a prerequisite to get certified.
Phase I: Initial Courses
26 credits
Introduction to Data Science
- History & Fundamentals of Data Science
- Machine Learning and Artificial Intelligence
Python and Data Science Toolkits (Data Manipulation Examples)
- Pandas
- Scikit Learn
- ML toolkits (implementation)
Phase II: Core Courses
72 credits
Exploratory Data Analysis and Data Engineering
- Data Preprocessing
- Data Cleaning
- Data Engineering and Sampling techniques
Machine Learning for Data Science
- Extract significant Features from the data space and make it ready for the ML models
- Constructing different classifiers to create several predictive Machine Learning algorithms
Data Visualization & Evaluation (with Special Topics in Data Science)
- Visualization in different formats
- Decision-making processes. (Special topics as deep neural network use cases)
Phase III: Capstone Project
15 credits
Real-world project
In this project, students will have the opportunity to work in a collaborative framework within a team and under the guidance of their instructor, to come up with an output to tackle real matters in actual life. Suggested topics that they will work on:
A. Social Computing
B. Predictive Financial Markets
C. Markets Segmentations
D. Weather Forecasting
E. Medical data science ideas
1.5M
is the expected number of the required Data Engineers and Analysts to understand how data analysis drives decision-making.
The number of data science and analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000.
Deliverables
Meet your instructors
Essam is a professor who is passionate about data science and machine learning. He holds a Ph.D. degree in computer science from UPM University. Essam has more than 15 years of experience in research and software development in the areas of machine learning and computer security. He also worked at top companies such as Baaz and Oxford Immune algorithmic. He has more than 25 published journal and conference papers on AI, machine learning, optimization, quantum computing, and computer security.
Youssef is a computer vision researcher working towards his Ph.D. His research focuses on developing real-time computer vision algorithms for healthcare applications. He also worked as a data scientist, using customers' data to gain a better understanding of their behavior. Youssef is passionate about data and believes in AI's power to improve people's lives. He hopes to transfer his passion to others and guide them into this broad field.
Mutaz holds a Master's degree in Data Science from the University of Science and Technology and has published some papers on machine learning & NLP. Mutaz currently works at Open Insights where he uses state-of-art machine learning algorithms to find insights that help businesses make future decisions. He also created visually impactful dashboards to help deliver business insights and findings to business leaders.
What our students say
Tuition & Financing
- Pay on monthly basis as you go through this specialization
- Full specialization with all deliverables and Instructor’s support.
- Save extra 22% vs. monthly subscription
- Full specialization with all deliverables and Instructor’s support.
FAQs
What is the difference between Data Analysts vs. Data scientists?
Data Analyst is considered to be a more junior position than Data Scientist, where their major role is to sift through data and provide reports and visualizations to explain what insights the data hiding. On the other side, Data scientists tend to collect data and analyze it, garner actionable insights, and share them with their organization.
This program is introductory but comprehensive in teaching data science from the very beginning, like diving into machine learning, programming with Python, on the Another hand is more beginner-friendly with a focus on descriptive analytics and industry-standard tools and software.
How do I know if this program is right for me?
This Specialization is ideal for you if you're a graduate in such STEM fields. Candidates should know statistics, calculus, linear Algebra, but programming is a plus. This specialization is great preparation for those who aim to advance their skills in Data.
You're going to learn Python commands and toolkits from scratch, and get to know some theories related to data and ML. Afterward, to understand the real applications and data manipulation to come up with insightful outputs. Contact the Admission team for more guidance.
What tools and software do we use and learn?
By enrolling in the DS specialization, you will gain hands-on experience with Anaconda, Jupyter Notebooks, and you will learn programming with python as well as libraries like Pandas and ML toolkits. You'll also use different tools to import, clean, manipulate and visualize data.
Can I skip a certain course?
Not exactly, you can only waive courses in the initial phase (prerequisites kit). We recommend you to apply and join these foundational courses, to learn basic components before digging deep into the advanced level since the whole curriculum is designed following the synoptic methodology. You can waive these courses upon your responsibility if your submitted documents met our criteria. (Read more in the syllabus)
Is this program accredited?
This specialization program is non-academia-recognized. Our DS&ML professional training kit is designed and developed in collaboration with the industrial leads in the field, learning outcomes and the curriculum are articulated to meet market-based and in-demand skillset in such vacancies globally and regionally. Once completed the program, you will be qualified to apply for entry-level jobs in the field.
Does Phi Science offer financial aid or discounts?
As part of paying back to our society, Phi is glad to provide up to 2 full scholarships for any of its specializations.
Please submit your application form. Moreover, you can get your early-bird registration discount when enrolling in any of the announced programs 2 weeks at least before the kick-off day.
