Truly Practical Data Science Course with Real-Life Cases

Private Training
Online Training

That's the practical course with a flexible time-table, to meet your work-life balance.

Our Experts will show how to train your models and further adapt them according to the changeable needs. The course is ideal for your future career as it will prepare you for the AI issues in practice.

Our Experts always stream their attendees to gain a deep and true understanding of the course material. That's why they share some links in advance (it will cover all prerequisites) as well as after the course.

You'll get for Free 16 hours of personal online mentoring from the Course trainer to solve any AI issue, even of your own. Schedule these 16 hours with the maximum efficiency for you.

Truly Practical Data Science Course with Real-Life Cases

Duration

3 days onsite + 16 hours of online consultation with the trainer

Delivery format

ONLINE, Instructor-led

Price

$1,620- 2,530

The course was especially tailored for:

  • Those who want to start training their model and further adapt it to the business requirements.
  • Everyone, willing to move from theory to applied knowledge across challenging business tasks.
  • Those who are seeking for personal mentoring for using the knowledge in practice.

Enroll to the course and get:

  • the structured information you would otherwise have to look for in different sources;
  • a personal mentoring during 16 hours to solve a practical AI issue;
  • ready-to-use scripts as the basis for creating algorithms of your own to solve business-specific problems;
  • a fully-applicable template of the development life cycle, as well as recommendations for its subsequent adaptation to a changing business environment;
  • a practical experience of building and adapting your AI models;
  • insights from experts who are 10+ years in AI and ready to ease your career path with their own life-hacks;

Why enroll

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Number of Delegates

The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.

Price

${{privatePriceString}}

${{privatePriceStringPerson}} per person

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Training program

Day 1

  • Core Concepts and Techniques

    Comprehensive review of the concepts, methods and models on which machine learning is based. In this module you'll learn:

    • Formal notation about ML tasks and definitions
    • Core principles of building an ML algorithms
    • Whole set ML algorithms, from Linear Regression to Random Forest
    • Introduction to core Python packages for ML
  • We'll cover the algorithms:

    • Linear and Logistic Regression
    • kNN and k-Means
    • Decision Trees and Random Forest
  • We'll show how to handle classification, regression and clustering tasks.

    We'll show how to handle classification, regression and clustering tasks.

Day 2

  • Feature Engineering and Development Methodology

    Proven to work recipes and methods that help build better models and develop whole solution. We'll get a hold on a wide range of questions related to building ML models, such as:

    • Feature Engineering
    • Dealing with Missing Data and Outliers
    • Dealing with Imbalanced Classification
    • Advanced Validation Schemes
    • Handling of Versioning of models
    • CRISP-DM as main ML development methodology

Day 3

  • Tabular Data

    Transactional data and structured data sources in general are largely prevalent types of datasets, especially in telecom/banking. Purpose of this module is to show an approach for this data to retrieve useful insights.

    • Data preparation of transactional data
    • Time series specific family of algorithms
    • Statistical and Neural Network approaches for this task

Practice

  • 7,5 hours of practice with our Experts during the 3-Days course

    Each day you'll spend at least 2,5 hours practicing to solidify knowledge and polish skills.

  • 16 hours of hands-on online practice provided by our Instructors

    • Real Estate Price Forecasting. Using the historical data of the housing market along with demographic data, we will learn how to build a model for forecasting a house price.
    • Customer Income Prediction. We propose to analyze the customer data set in the Google Merchandise Store (also known as GStore, where Google Swag is sold). The goal is to create a model that predicts store revenue per customer.
    • Assessment of loan applications. This is a classic banking task to minimize financial risks. Using the client’s historical data, we will build a model that predicts the probability with which the client will return a bank loan.
    • Your own project. Each attendee can propose a project they'd like to work on.

Still have questions? Review our FAQ section or feel free to contact us.

Still have questions? Review our FAQ section or feel free to contact us.

Prerequisites

Programming:

To participate in Practical Data Science Course at least minimum experience in programming and understanding of Data Structure is enough! Although many of our attendees come with a slight experience in programming. And that's not a problem. To be confident you are ready to successfully pass the Course, we'll share some of the useful links in advance, as soon as the ticket is bought. So, even if not, you'll be!

{{eventName}}

Select location

When

Number of participants

1
2
3
4
5+

Total price

${{commonPriceString}}

The price rises closer to the type of training. Have time to buy now!

From - To

Number of Delegates

The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.

Price

${{privatePriceString}}

${{privatePriceStringPerson}} per person

Special price

From - To

Number of Delegates

The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.

Price

${{privatePriceString}}

${{privatePriceStringPerson}} per person

Special price

Training from authorized Partner

Meet us

Get updates on upcoming events and new courses, discounts and special offers

Our attendees

Here is what our attendees say about us

/
01

“Biggest value of the course? Combination of conceptual and practical contents. Showing the state-of-the art achievements and hence developing a feeling what can be achieved with DNN”

Arpad Rozsas

Neural Networks and Deep Learning training, Madrid

02

“Quick coverage of content will give me a boost. Format was good - allowed me to see how people including classmates were using NN.”

Cali Chen

Neural Networks and Deep Learning training in Washington DC

03

“What did you like most at the training? Both high level and the details of machine learning.”

Gavin Liu

Machine Learning training in Washington DC

04

“Great experience! Very knowledgeable and friendly trainers. Biggest value of the course - practical examples/issues the trainers provided based on their experience.”

Ramesh Balasubramanian

Machine and Deep Learning Training, San Diego

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Frequently asked questions

Did not find the answer to your question? Drop us a line at training@altoros.com

  • What are the prerequisites?

    At least minimum experience in programming is enough to proceed!

  • What are the available payment options?

    You can pay via all major credit cards (including Visa, American Express, MasterCard, Discover, and more) or PayPal. If you would like to get an invoice for your company to pay for this training, please email to training@altoros.com and provide us with the following info: Name of your Company/Division which you would like to be invoiced; Name of the person the invoice should be addressed to; Mailing address; Purchase order # to put on the invoice (if required by your company).

  • Do you offer group discounts?

    Yes, we also offer a discount for groups of 5 or more people who register together.

  • I bought a ticket but occasionally should miss training.

    Please, email to training@altoros.com. Our team will provide you information about the nearest date to your location.

  • What services do you offer after the training?

    We'd be glad to provide you with: Post-training support from our trainers to cover the questions that you or your team might have; Advanced training options or classes on a different domain to widen your expertise and technical skillset (Kubernetes, Cloud Foundry, Artificial Intelligence / Machine Learning); Customized consulting services for project delivery.

  • Will I get a certificate after completion?

    Yes! Once you have completed our training, you will be issued a certificate that you can print or add to your LinkedIn profile for others to see. Note: the certificate does not represent official academic credit.

  • Do you offer discounts for individuals?

    Yes, we offer discounts of up to 10% off for early birds who register for the training in advance. Each discount tier has a limited number of seats and all of our discounts are available in limited quantities. Once we sell out of our discounted seats, we move to full price.

  • What size are the groups?

    The standard group size is 8-10 people. Small class sizes provide students unparalleled access to instructors, who are seasoned industry veterans with experience building and deploying full-scale AI solutions. Note: The class is contingent upon having 7+ attendees. If there aren’t enough students, we will offer you to attend the class in a different location or date. That is also the reason why we ask not to buy flight tickets before the class is confirmed.

  • I need to travel to participate in training. Do you help with visa?

    We do not participate in the process of application for visa. However, you can use a confirmation that you have registered for our class and bought the ticket for it. This should support your visa application. If your application is declined, we will refund the ticket.

  • Why should I trust Altoros Training?

    Being a Google Gold Partner and AI Builder Partner Altoros delivers AI projects to the organizations that operate in various markets, like banking and finance, insurance, manufacturing, and others. An experienced AI team already helped 14 companies with machine learning adoption and delivering competitive advantage by utilizing the benefits of the technology. More than 500 people all over the world were trained and adopted the knowledge of our experts.

Contact us

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Ryan Meharg

Ryan Meharg

Technical Director

ryan.m@altoros.com650 265-2266

4900 Hopyard Rd. Suite 100 Pleasanton, CA 94588