SMACK Stack for Data Science Training Course

This is a 5-day introductory course on Data Science and Artificial Intelligence (AI).

The course is delivered with examples and exercises using Python

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

Upon completion of 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 optimising machine learning workflows in production environments.

This instructor-led, live training in Portugal (online or onsite) targets data scientists who wish to use the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows in 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 Portugal (online or onsite) targets intermediate-level data scientists and analysts who wish to use AWS Cloud9 to streamline their data science workflows.

Upon completing this training, participants will be able to:

• Establish a data science environment in AWS Cloud9.
• Conduct data analysis using Python, R, and Jupyter Notebook within Cloud9.
• Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Utilize AWS Cloud9 for developing and deploying machine learning models.
• Optimize cloud-based workflows for efficient data analysis and processing.

This trainer-led, live training in Portugal (online or in-person) is designed for beginner-level data scientists and IT professionals who wish to learn the fundamentals 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.

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

Attendees will apply their new knowledge through hands-on exercises, with group interaction and instructor feedback forming a key part of the learning experience.

The course begins by introducing fundamental Data Science concepts, then advances to cover the specific tools and methodologies employed in the field.

Audience

• Developers
• Technical analysts
• IT consultants

Course Format

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

Note

• For information on arranging customized training for this course, please get in touch.

Big data refers to data sets so voluminous and complex that traditional data processing application software is inadequate to handle them. Challenges in big data include capturing, storing, analyzing, searching, sharing, transferring, visualizing, querying, updating data, as well as ensuring information privacy.

This course is designed for marketing and sales professionals looking to deepen their understanding of data science applications within these fields. It offers a comprehensive exploration of various data science techniques utilized for upselling, cross-selling, market segmentation, branding, and Customer Lifetime Value (CLV).

Differentiating Marketing and Sales - What distinguishes sales from marketing?

In simple terms, sales can be described as a process focused on individuals or small groups. Marketing, conversely, targets broader audiences or the general public. Marketing encompasses research (identifying customer needs), product development (creating innovative solutions), and promotion (via advertisements) to raise consumer awareness. Essentially, marketing generates leads or prospects. Once the product reaches the market, the salesperson's role is to persuade customers to make a purchase. Sales involves converting those leads into actual purchases and orders, whereas marketing aims for long-term goals, while sales focuses on shorter-term objectives.

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

Upon completion of this course, participants will be capable of:

• Installing and configuring Python and MySQL.
• Understanding the definition of Data Science and its potential to add value to virtually any business.
• Mastering the fundamentals of Python coding.
• Gaining knowledge of supervised and unsupervised Machine Learning techniques, including how to implement them and interpret the outcomes.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to arrange your schedule.

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

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

• Learn about data science and machine learning.
• Explore data analytics.
• Learn about Kaggle and how it works.

This instructor-led, live training in Portugal (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 constructing scalable data processing and Machine Learning workflows with PySpark. Attendees will discover how Apache Spark functions within contemporary Big Data ecosystems and how to efficiently handle large datasets by applying distributed computing principles.

This instructor-led, live training in Portugal (online or onsite) is designed for data scientists and developers looking to utilize RAPIDS for creating GPU-accelerated data pipelines, workflows, and visualizations, while applying machine learning algorithms such as XGBoost and cuML.

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

• Configure the required development environment for building data models with NVIDIA RAPIDS.
• Grasp the features, components, and benefits of RAPIDS.
• Utilize GPUs to accelerate end-to-end data and analytics pipelines.
• Execute GPU-accelerated data preparation and ETL processes using cuDF and Apache Arrow.
• Perform machine learning tasks using XGBoost and cuML algorithms.
• Create data visualizations and conduct graph analysis with cuXfilter and cuGraph.

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

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

• Master the use of Spark with Python for Big Data analysis.
• Complete exercises that simulate real-world scenarios.
• Utilize various tools and techniques for big data analysis using PySpark.

Stratio is a data-centric platform that seamlessly integrates big data, AI, and governance into a unified solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics within enterprise environments.

This instructor-led live training (available online or onsite) is designed for intermediate-level data professionals aiming to effectively utilize the Rocket and Intelligence modules in Stratio with PySpark. The curriculum focuses on looping structures, user-defined functions, and advanced data logic.

Upon completing this training, participants will be able to:

• Navigate and operate within the Stratio platform using the Rocket and Intelligence modules.
• Apply PySpark for data ingestion, transformation, and analysis.
• Utilize loops and conditional logic to manage data workflows and feature engineering tasks.
• Develop and manage user-defined functions (UDFs) to ensure reusable data operations in PySpark.

Course Format

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

Course Customization Options

• To arrange customized training for this course, please contact us.