Learn
Data Science & AI
Machine Learning With Python
There is a shortage of qualified Data Scientists in the workforce, and individuals with these skills are in high demand.
Build skills in programming, data wrangling, machine learning, SQL, Web Scraping, experiment design, data visualization, and Model Deployment and launch a career in data science.
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Download The Syllabus
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Delivery
Classroom / Online live
Duration
100 HRS. / 18 WEEKS
Knowledge Required
Zero-based
Projects
20 Projects
Course Language
bilingual arabic/english
Program
Curriculum:
Build skills in programming, data wrangling, machine learning, SQL, Web Scraping, experiment design, data visualization, and Model Deployment and launch a career in data science.
Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science and machine learning career.
20 Projects
Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
This Training Program will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and OOP, complete hands-on exercises throughout the Program.
getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.
you gain the prerequisite mathematical knowledge to continue your journey and take more advanced Topics in machine learning and Data Science
3. Web Scraping & Web Services
you will learn to navigate and parse HTML, CSS code, and crawl websites automatically. our scraping will be conducted using the versatile Python library BeautifulSoup many of the techniques you learn in this program can be applied to other popular Python libraries as well, including Scrapy and Selenium. Upon the completion of this program, you will have a strong mental model of HTML structure, will be able to build tools to parse HTML code and access desired information, and create simple scrapy spiders to crawl the web at scale.
a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You’ll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes.
5. Exploratory Data Analysis with NumPy & Pandas
working with real-world datasets to retrieve insights from data. You’ll be exposed to different kinds of data structure and data-related problems. You’ll learn how to prepare data for analysis, perform simple statistical analyses, predict future trends from data, and more!
you’ll learn about NumPy and how to work with data using the library. That means digging into concepts such as vectorized operations and going hands-on with selecting data from NumPy ndarrays. To enhance your knowledge of NumPy, you’ll then learn how to select data based on their values using a technique called boolean indexing.
After you learn about NumPy, we’ll jump into pandas, which is the most popular open source library for data science. Along with learning about the pandas library, you’ll learn how it can work with NumPy to supercharge your data analysis workflow.
Once you’ve mastered the basics of NumPy and pandas, you will get some practice exploring data using the pandas library and learning how to select data in a pandas dataframe, how to filter your data, and more pandas analytical techniques. You’ll also learn more data cleaning techniques, using pandas to make your data easier to work with.
6. Data Visualization with Matplotlib & Seaborn
Master Matplotlib Anatomy and Learn Seaborn to Visualize Data with Custom, Beautiful Charts, Suitable for All Purposes
Matplotlib and Seaborn are powerful Python library that makes it easy to create informative and attractive visualizations. you will learn how to visualize your data using plots such as scatter plots, box plots, and bar plots.
Understand what data preprocessing is and why it is needed as part of overall data science and machine learning methodology.
data is very messy and comes in a variety of form. As part of the overall data mining and machine learning process, we must take the time to preprocess our data. This means we must ensure that it is structured, cleansed, and address any problems that the data may have. Preprocessing the data includes gaining a better understanding of the data through descriptive statistics and data visualization techniques. It also includes ensuring that missing data or outliers are handled accordingly.
Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.
you will learn how to extract and identify useful features that best represent your data, machine learning algorithms, (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks, More…). (ii) Unsupervised learning (clustering, dimensionality reduction, More…). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI) and how to evaluate the performance of your machine learning algorithms.
10. Introduction to Deep Learning
Basic understanding of modern neural networks and their applications in computer vision and natural language understanding
the capstone project will give you a taste of what data scientists go through in real life when working with data.
To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in Python data analysis that you have gained throughout the series. This final project will test your skills in data science.
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Join the future of AI
Participants Profile
› Computer Science and Engineering Students and graduates
› Artificial intelligence enthusiasts.
› Statisticians with an interest in Machine
› People who want to get into the field of data science and artificial intelligence
› People aged 18 or older.
Program Objectives
› Learn Python programming language
› getting you up to speed in the underlying mathematics, building an intuitive understanding
› build tools to parse HTML code and access desired information
› Learn how to use SQL database
› Learn to use the Python libraries: Numpy, pandas, matplotlib, seaborn and scikit learn.
› Learn about data visualization
› Learn about data preprocessing
› Explore supervised and unsupervised learning.
› learn to the deployment of machine learning models
› Basic understanding of modern neural networks and their applications
Program Fees
4900 EGP
9800 EGP
- Pay and Join Us
- No other payment will be requested either during or after the course.
Payment Options
Cash to our address
Bank Transfer
Vodafone Cash
Master/Visa Card
Fawry/Aman
VaLU Installments
Why Learn Data Science?
Data Science is the Future
Highly Paid Career
Huge Demand
Strong Community
Top 500 Companies Are Hiring Data Scientists
Our Instructors
Dr. Ahmed Qattan
–Chief Technical officer CTO @Epsilon A
–Post-Doc, Massachusetts Institute of Technology MIT
–Ph. D. University of Cambridge – Computer Vision
ENG. Hassan Badawy
–M.Sc., NLP Specialist @ EpsilonAI
–AI TECHNICAL TEAM LEADER at INTDV
–Artificial Intelligence Researcher (Part-Time) at orange labs
ENG. Ahmed M. Emad
–Senior Big Data Analyst @ EpsilonAI
–Senior Data Scientist and Big Data Engineer @ Vodafone
ENG. Eslam Ahmed
–Data Scientist Lead @ EpsilonAI
–Senior Software Engineer at EGCERT
Testimonials
EpsilonAI was one of the most rewarding experiences of my career. EpsilonAI transformed me from an apprehensive career-changer, to a confident and competent data scientist. the career services team supported my job search, and after 3 months I received two excellent job offers.”
Ahmed AdelMogassam CEO
“For me, the highlight of the EpsilonAI CDSP was having top notch instructors who enjoy the material and are dedicated to sharing their data science knowledge. In fact, the EpsilonAI team overall (not just instructors, but also program managers, career advisors) as well as a high quality group of CDSP colleagues together offer an amazing level of support through what is a very intense program. I highly recommend EpsilonAI to anyone with sincere interest in data science and is seeking a truly rewarding experience.”
Mohamed AnwarElectrical Engineering TA
“I loved the EpsilonAI Online Live Experience because the Instructors did a great job of both furthering our understanding of key concepts, as well as supporting any interests the trainees had in the wide and deep field of data science. Pull the trigger!”
Fatma EnanySoftware Developer
Previous
Next
FAQ
- Build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. With the skills you learn in the program, you can launch or advance a successful data career. Start acquiring valuable skills right away, create a project portfolio to demonstrate your abilities, and get support from mentors, peers, and experts in the field.
→ Build predictive models using a variety of unsupervised and supervised machine learning techniques.
→ Perform feature engineering to improve the performance of machine learning models.
→ Optimize, tune, and improve algorithms according to specific metrics like accuracy and speed.
→ Compare the performances of learned models using suitable metrics.
→ analyze, design, and document a system component using appropriate data analysis techniques and models.
→ demonstrate an understanding of fundamental principles of data analytics systems and technologies.
→ Able to use standard techniques of mathematics, probability, and statistics to address problems typical of a career in data science.
→ Apply appropriate modeling techniques to conduct quantitative analyses of complex big data sets.
→ Use statistical software packages such as Python to solve data science problems.
→ Communicate results effectively to stakeholders.
→ Deploy machine learning models into the cloud.
→ scrape data and store it locally or globally to access the data sets whenever needed.
→ transition from the Very Basics to a Point Where You Can Effortlessly Work with Large SQL Queries
→ Perform feature engineering to improve the performance of machine learning models.
› Computer Science and Engineering Students and graduates› Artificial intelligence enthusiasts.› Statisticians with an interest in Machine
› People who want to get into the field of data science and artificial intelligence
› People aged 18 or
all of our programs are available either classroom live or Online Live.
How long does the course take?
Our Training Program can last from 18Â to 20 weeks.
Where does the course take place?
Our trainings are held either online live via zoom or in our institute, You can find all our locations here
Our instructors are chosen on the basis of their technical and educational skills. They also are trained on our programs and our methodology. They monitor and validate the progress of each Trainee, assist and supervise them throughout the Program.
Is the program certified? Will I have a certificate?
All of our programs are certified from America AI Institute AAI, Delaware, USA and Certnexus. We are state approved and our certificate is recognized Worldwide and by our recruiting partners. But most importantly we will help you get a portfolio that will help you get hired. As of today, companies care less about degrees and more about the projects you have done.
Post-program:
→ Two Month Training @Epsilon AI
→ A Two-hour online coaching session for each participant within Two months from the program end date
→ meetings sessions covering trending topics.
We would love to hear it from you
Do you have any questions about our Training Program? Do you have any comments or ideas you would like to share with us? Please feel free to send us a message
Sign Up Now
Join the future of AI
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For further information, contact us
Download The Syllabus
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Location
ElSerag Mall, Residential building 1, Entrance 1, Floor 11, Nasr City, Cairo, Egypt 11762
Business Hours
All Week
10 am to 10 pm (Egypt Time)
We would love to hear it from you
Do you have any questions about our Training Program? Do you have any comments or ideas you would like to share with us? Please feel free to send us a message
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