Truly Practical Data Science Course with Real-Life Cases

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

$1620-2530

Buy ticket

Why enroll? To 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;
loading

{{eventName}}

Select location

When

Number of participants

1
2
3
4
5+

Total price

${{commonPriceString}}

The price rises closer to the training date. Take a minute 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}}

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}}

Special price

{{trainingDescription.title}}

{{trainingDuration.title}}

checked
Prerequisites
See details

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!
See all

Who should attend

  • 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.

Training program

1
DAY 1
see details
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.
2
DAY 2
see details
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
3
DAY 3
see details
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
4
PRACTICE
see details
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.

{{eventName}}

Select location

When

Number of participants

1
2
3
4
5+

Total price

${{commonPriceString}}

The price rises closer to the training date. Take a minute 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}}

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}}

Special price

Training from authorized Partner

Meet us

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

Our Attendees

Here is what our attendees say about us
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
Quick coverage of content will give me a boost. Format was good - allowed me to see how people including classmates were using NN
What did you like most at the training?
Both high level and the details of machine learning
Great experience! Very knowledgeable and friendly trainers. Biggest value of the course - practical examples/issues the trainers provided based on their experience
nike logo
pivotal logo
roche logo
toyota logo
siemens logo
imb logo

Frequently asked questions

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

What are the prerequisites?
See details

At least minimum experience in programming is enough to proceed!

What are the available payment options?
See details

All purchases go through eventbrite.com and 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?
See details

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.
See details

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?
See details

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?
See details

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?
See details

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?
See details

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?
See details

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?
See details

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.