SMACK Stack for Data Science Training Course

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

The course is taught through practical examples and exercises using Python.

This instructor-led, live training in Nigeria (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.

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

• Configure Apache Airflow to orchestrate machine learning workflows.
• Automate tasks related to data preprocessing, model training, and validation.
• Integrate Airflow with various machine learning frameworks and tools.
• Deploy machine learning models through automated pipelines.
• Monitor and optimize machine learning workflows in a production environment.

This instructor-led live training in Nigeria (online or onsite) is designed for data scientists who wish 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 Nigeria (online or onsite) is tailored for intermediate-level data scientists and analysts looking to use AWS Cloud9 for efficient data science workflows.

By the end of 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.
• Connect AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Use AWS Cloud9 for developing and deploying machine learning models.
• Enhance cloud-based workflows for efficient data analysis and processing.

This instructor-led, live training in Nigeria (online or onsite) is aimed at 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.

This is an ideal introduction to data science for managers, giving you the chance to learn about this powerful business tool.

This course is designed for Marketing and Sales professionals who wish to deepen their understanding of applying data science within these domains. The curriculum offers comprehensive coverage of various data science techniques applied to 'upselling', 'cross-selling', market segmentation, branding, and Customer Lifetime Value (CLV).

Understanding the Distinction Between Marketing and Sales - How do sales and marketing differ?

In simple terms, sales is a process focused on targeting individuals or small groups. Marketing, on the other hand, aims at reaching a broader audience or the general public. Marketing encompasses research (identifying customer needs), product development (creating innovative products), and promotion (using advertisements to build product awareness among consumers). Essentially, marketing is about generating leads or prospects. Once the product is launched, it becomes the salesperson's role to persuade customers to make a purchase. While sales focuses on converting leads into orders and purchases, marketing is oriented toward long-term goals, whereas sales is often concerned with shorter-term objectives.

This guided, live training session (available online or at your office) is designed for professionals looking to launch a career in Data Science.

Upon completing this training, participants will be equipped to:

• Install and set up Python and MySql.
• Grasp the concept of Data Science and how it creates value for almost any business. 
• Master the basics of Python programming
• Understand supervised and unsupervised Machine Learning techniques, including how to implement them and interpret the outcomes.  

Course Format

• Engaging lectures and interactive discussions.
• Numerous exercises and practical practice sessions.
• Real-world implementation in a live-lab environment.

Customization Options

• For tailored training on this course, please get in touch with us to make arrangements.

This instructor-led, live training in Nigeria (online or onsite) introduces the concept of collaborative development in data science and demonstrates how to use Jupyter to track and participate as a team in the "life cycle of a computational idea". It guides participants through the creation of a sample data science project based on the Jupyter ecosystem.

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

• Install and configure Jupyter, including creating and integrating a team repository on Git.
• Utilize Jupyter features such as extensions, interactive widgets, and multiuser mode to facilitate project collaboration.
• Create, share, and organize Jupyter Notebooks with team members.
• Choose from Scala, Python, or R to write and execute code against big data systems like Apache Spark, all through the Jupyter interface.

This instructor-led live training in Nigeria (online or onsite) is tailored 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:

• Gain foundational knowledge of data science and machine learning.
• Explore the field of data analytics.
• Understand the Kaggle platform and its operational mechanics.

This instructor-led live training in Nigeria (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 training offers a hands-on introduction to constructing scalable data processing and Machine Learning workflows using PySpark. Participants will gain insight into how Apache Spark functions within contemporary Big Data ecosystems and learn to process large datasets efficiently by applying distributed computing principles.

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

By the end 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 Nigeria, participants will learn how to use Python and Spark together to analyse big data while working through hands-on exercises.

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

• Learn how to use Spark with Python to analyse 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 comprehensive, data-driven platform that unifies big data capabilities, artificial intelligence, and governance into a single cohesive solution. Its Rocket and Intelligence modules empower organizations to conduct rapid data exploration, transformation, and advanced analytics within enterprise settings.

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

Upon completing this training, participants will be equipped to:

• Effectively navigate and utilize the Stratio platform, specifically its Rocket and Intelligence modules.
• Apply PySpark for data ingestion, transformation, and analytical tasks.
• Utilize loops and conditional logic to manage data workflows and perform feature engineering.
• Develop and manage user-defined functions (UDFs) to facilitate reusable data operations within PySpark.

Course Delivery Format

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

Options for Course Customization

• For tailored training requirements, please reach out to us to arrange a customized session.