SMACK Stack for Data Science Training Course

This five-day course provides a comprehensive introduction to Data Science and Artificial Intelligence (AI).

Instruction is delivered through practical examples and hands-on exercises using Python.

This instructor-led, live training in Italy (online or onsite) is designed for intermediate-level participants who aim to automate and manage machine learning workflows, encompassing model training, validation, and deployment via Apache Airflow.

Upon completing this training, participants will be capable of:

• Configuring Apache Airflow to orchestrate machine learning workflows.
• Automating tasks related to data preprocessing, model training, and validation.
• Integrating Airflow with various machine learning frameworks and tools.
• Deploying machine learning models through automated pipelines.
• Monitoring and optimizing machine learning workflows in a production environment.

This instructor-led, live training in Italy (online or on-site) is directed at data scientists who intend to use the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows on a single platform.

By the end of this training, participants will be able to:

• Install and configure Anaconda components and libraries.
• Understand the core concepts, features, and benefits of Anaconda.
• Manage packages, environments, and channels using Anaconda Navigator.
• Use Conda, R, and Python packages for data science and machine learning.
• Get to know some practical use cases and techniques for managing multiple data environments.

This instructor-led, live training in Italy (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

By the end of this training, participants will be able to:

• Set up a data science environment in AWS Cloud9.
• Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
• Utilize AWS Cloud9 for machine learning model development and deployment.
• Optimize cloud-based workflows for data analysis and processing.

This instructor-led live training in Italy (online or on-site) is designed for beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

By the end of this training, participants will be able to:

• Set up and navigate Google Colab.
• Write and execute basic Python code.
• Import and handle datasets.
• Create visualizations using Python libraries.

Upon completing this training, participants will acquire a practical, real-world grasp of Data Science, along with its associated technologies, methodologies, and tools.

Learners will have the chance to apply this knowledge through practical exercises. The class places significant emphasis on group interaction and feedback from the instructor.

The course begins with foundational concepts of Data Science before advancing to the specific tools and methods utilized in the field.

Target Audience

• Developers
• Technical analysts
• IT consultants

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Note

• For inquiries regarding customized training options for this course, please contact us to make arrangements.

Big data refers to datasets of such immense volume and complexity that conventional data processing software is insufficient to handle them. The challenges associated with big data encompass capturing, storing, analyzing, searching, sharing, transferring, visualizing, querying, updating, and ensuring information privacy.

Designed specifically for marketing and sales professionals eager to deepen their understanding of data science applications in these fields, this course offers a comprehensive exploration of various data science techniques. These methods are applied to enhance upselling, cross-selling, market segmentation, branding efforts, and Customer Lifetime Value (CLV) analysis.

Understanding the Distinction Between Marketing and Sales - What sets them apart?

Simply put, sales is a process focused on targeting individuals or small groups. In contrast, marketing aims at a broader audience or the general public. Marketing encompasses researching customer needs, developing innovative products, and promoting them through advertising to build awareness. Essentially, marketing is about generating leads or prospects. Once the product reaches the market, the salesperson's role is to persuade these prospects to make a purchase. While sales focuses on converting leads into immediate orders with short-term goals, marketing is oriented toward long-term strategies.

This instructor-led, live training (available online or onsite) is designed for professionals looking to launch a career in Data Science.

Upon completing this training, participants will be able to:

• Install and configure Python and MySQL.
• Understand the definition of Data Science and how it adds value to virtually any business. 
• Master the fundamentals of coding in Python.
• Learn supervised and unsupervised Machine Learning techniques, including how to implement them and interpret the results.  

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• For customized training requests, please contact us to arrange details.

This instructor-led live training in Italy (online or onsite) is designed for data scientists and developers who aim to learn and build their careers in Data Science using Kaggle.

Upon completion of this training, participants will be equipped to:

• Gain a solid understanding of data science and machine learning concepts.
• Conduct exploratory data analysis.
• Understand the functionality and mechanics of the Kaggle platform.

This instructor-led, live training in Italy (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.

By the end of this training, participants will be able to:

• Set up the necessary environment to start developing Pandas workflows at scale with Modin.
• Understand the features, architecture, and advantages of Modin.
• Know the differences between Modin, Dask, and Ray.
• Perform Pandas operations faster with Modin.
• Implement the entire Pandas API and functions.

This course offers a hands-on introduction to creating scalable data processing and Machine Learning workflows with PySpark. Attendees will discover how Apache Spark functions within contemporary Big Data ecosystems and learn to process extensive datasets efficiently by leveraging distributed computing principles.

This instructor-led, live training in Italy (online or onsite) is designed for data scientists and developers who aim to leverage RAPIDS for building GPU-accelerated data pipelines, workflows, and visualizations, while applying machine learning algorithms like XGBoost and cuML.

By the conclusion of this training, participants will be able to:

• Set up the necessary development environment to build data models with NVIDIA RAPIDS.
• Understand the features, components, and advantages of RAPIDS.
• Leverage GPUs to accelerate end-to-end data and analytics pipelines.
• Implement GPU-accelerated data preparation and ETL with cuDF and Apache Arrow.
• Learn how to perform machine learning tasks with XGBoost and cuML algorithms.
• Build data visualizations and execute graph analysis with cuXfilter and cuGraph.

In this instructor-led, live training in Italy, participants will learn how to combine Python and Spark to analyze big data while engaging in hands-on exercises.

By the end of this training, participants will be able to:

• Learn how to use Spark with Python to analyze Big Data.
• Work on exercises that mimic real world cases.
• Use different tools and techniques for big data analysis using PySpark.

Stratio serves as a unified, data-centric platform that seamlessly combines big data capabilities, artificial intelligence, and governance. Its Rocket and Intelligence modules empower organizations to rapidly explore, transform, and analyze data with advanced analytics tailored for enterprise needs.

This instructor-led live training, available both online and onsite, is designed for intermediate-level data professionals aiming to master the Rocket and Intelligence modules within Stratio using PySpark. The curriculum emphasizes looping structures, user-defined functions (UDFs), and sophisticated data logic.

Upon completion, participants will gain the ability to:

• Effectively navigate and utilize the Rocket and Intelligence modules within the Stratio platform.
• Implement PySpark for efficient data ingestion, transformation, and analytical processes.
• Control data workflows and execute feature engineering tasks using loops and conditional logic.
• Develop and manage user-defined functions (UDFs) to facilitate reusable data operations in PySpark.

Training Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For tailored training requests, please contact us to make arrangements.