Jupyter for Data Science Teams Training Course

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

The course utilizes examples and exercises in Python for practical learning.

This instructor-led, live training in the UAE (online or onsite) is aimed at 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:

• Set up Apache Airflow for machine learning workflow orchestration.
• Automate data preprocessing, model training, and validation tasks.
• Integrate Airflow with machine learning frameworks and tools.
• Deploy machine learning models using automated pipelines.
• Monitor and optimize machine learning workflows in production.

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

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

Participants will have the chance to apply their knowledge through hands-on exercises. Group interaction and instructor feedback are key components of the course.

The program begins with an overview of fundamental Data Science concepts before delving into the specific tools and methodologies employed in the field.

Audience

• Developers
• Technical analysts
• IT consultants

Course Format

• The course combines lectures, discussions, exercises, and extensive hands-on practice.

Note

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

The unprecedented surge in information and data has propelled our capacity for innovation and pushing boundaries to new heights. Today, the role of a Data Scientist is among the most sought-after skills across various industries.

Our approach goes beyond theoretical learning; we provide practical, industry-relevant skills that connect academic knowledge with real-world demands.

This 7-week curriculum can be customized according to your specific industry needs. For more details or to learn about our offerings, please contact us or visit the Nobleprog Institute website.

Audience:

This program is designed for postgraduate-level individuals as well as anyone with the necessary prerequisite skills, which will be assessed through an evaluation and interview process.

Delivery:

The course delivery combines Instructor-Led Classroom sessions and Instructor-Led Online sessions. Typically, the first week involves classroom-led instruction, weeks 2 to 6 are conducted in a virtual classroom setting, and the seventh week returns to classroom-led instruction.

Big data refers to extensive and intricate datasets that conventional data processing applications cannot effectively manage. The challenges associated with big data encompass capturing the data, storing it, analyzing it, searching through it, sharing it, transferring it, visualizing it, querying it, updating it, and ensuring information privacy.

This course is designed for Marketing and Sales Professionals looking to delve deeper into the application of data science within Marketing and Sales domains. It offers comprehensive coverage of various data science techniques utilized for "upselling," "cross-selling," market segmentation, branding, and customer lifetime value (CLV).

Difference Between Marketing and Sales - How are marketing and sales different?

In simple terms, sales can be described as a process that focuses on individuals or small groups. Conversely, marketing targets larger audiences or the general public. Marketing encompasses research (identifying customer needs), product development (creating innovative products), and promotion (through advertisements) to raise consumer awareness about the product. Essentially, marketing involves generating leads or prospects. Once the product is launched in the market, it falls on the sales team to convince customers to make a purchase. Sales revolves around converting these leads into actual purchases and orders, whereas marketing aims for long-term goals, while sales focuses on short-term objectives.

This instructor-led, live training (conducted online or at your premises) is designed for professionals looking to embark on a career in Data Science.

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

• Set up and configure Python and MySql.
• Grasp the concept of Data Science and its potential to enhance business operations across various sectors.
• Master the basics of programming in Python.
• Familiarize themselves with both supervised and unsupervised Machine Learning techniques, along with their implementation and interpretation.

Course Format

• Engaging lectures combined with interactive discussions.
• A plethora of exercises and practical applications.
• Practical implementation in a live-lab setting.

Customization Options for the Course

• To tailor this course to your specific needs, please contact us to make arrangements.

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

The KNIME Analytics Platform is a premier open-source solution for data-driven innovation in the UAE. It assists you in uncovering hidden potential within your datasets, discovering new insights, and predicting future trends. Featuring over 1000 modules, numerous pre-configured examples, an extensive suite of integrated tools, and the most advanced algorithms available, KNIME Analytics Platform serves as a comprehensive toolkit for data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent chance for beginners, experienced users, and KNIME experts to familiarize themselves with the platform, enhance their skills in using it effectively, and develop clear, detailed reports based on KNIME workflows.

Designed as instructor-led training (either online or at your location), this course is aimed at data professionals looking to leverage KNIME for addressing intricate business challenges.

The target audience includes individuals with no programming background who wish to utilize state-of-the-art tools for implementing analytics solutions.

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

• Install and set up KNIME.
• Create Data Science scenarios.
• Train, test, and validate models.
• Implement a complete data science model value chain from start to finish.

Course Structure

• Engaging lectures and discussions.
• A plethora of exercises and practice sessions.
• Hands-on implementation in a live-lab setting.

Customization Options for the Course

• To request customized training or to learn more about this program, please contact us to schedule a discussion.

This instructor-led, live training in the UAE (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 instructor-led, live training in the UAE (online or onsite) is aimed at data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms, such as XGBoost, cuML, etc.

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.