Online Training

Applied Advanced Analytics

Become a data professional who can solve the most challenging business problems. Master the latest data modeling techniques and learn how to use your data efficiently.

Apply Here

Online Training

Applied Advanced Analytics

Become a data professional who can solve the most challenging business problems. Master the latest data modeling techniques and learn how to use your data efficiently.

Apply Here

Start:

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  1. The total number of students is limited.
  2. If the expected number of students is not reached, the group will be rescheduled.

Fall 2024

Duration:

3 months and an additional 15 to 30 days for the final project

Schedule:

Classes: 

Two times a week
(17:30-20:00)

Workshops:

Every other Friday
(17:30-20:00)

Consultations:

2 individual classes
(30 minutes)

Price:

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  1. Pay in five installments without interest
  2. Discount of 15% for a one-time payment
  3. Discount of 20% for students that have previously attended a training at Data Masters Academy
  4. Discount of 20% for students

70.000 MKD

Training Description

The applied data analytics training is created from real-life scenarios and examples that businesses and consultants from Data Masters face on a daily basis. 

Learn advanced data processing techniques and methodologies like user segmentation, market basket analysis, fraud detection, and NLP analysis with linguistic models.


To participate in the training, you must meet one of the following requirements:

Pass a test on the fundamentals of Python programming language conducted by Data Masters. This test will assess and confirm that you have:

  • Basic knowledge of Python and SQL programming languages
  • Basic knowledge of database concepts
  • Basic knowledge of mathematics and statistics

Have a certificate for successfully completing basic Data Analytics training at the Data Masters Academy or another educational center.

Introductory Python training is available based on a previous agreement with the Data Masters Academy.

Pass a test on the fundamentals of Python programming language conducted by Data Masters. This test will assess and confirm that you have:

- Basic knowledge of Python and SQL programming languages

- Basic knowledge of database concepts

- Basic knowledge of mathematics and statistics

Have a certificate for successfully completing basic Data Analytics training at the Data Masters Academy or another educational center.

Introductory Python training is available based on a previous agreement with the Data Masters Academy.

Modules

Module 1: Introduction to Advanced Analytics

Learn about the fundamentals of advanced analytics through its role in driving business growth.

Learn about analytics concepts and DS methodologies that put complex data sets through a whole lifecycle.

Explore predictive and prescriptive methods, data visualization, and textual analysis to address the greatest pain points in every industry. 

Build a critical and problem-solving mindset for a solid foundation in the data world.

Module 2: Customer Segmentation

Understand customer behavior and preferences in order to create a personalized approach for each user.

Learn different types of customer segmentation through clustering techniques and algorithms, decision trees, and factor analysis.

Implement this technique in a use case that measures KPIs related to customer satisfaction, engagement, and retention that apply in any industry.

Module 3: Market Basket Analysis

Extract valuable insights from transactional data and leveragе them to optimize business strategies.

Use association rule mining techniques (Apriori algorithm) to identify product associations in industries such as retail, e-commerce, and/or online services.

Leverage market basket analysis for cross-selling, pricing optimization, and promotional strategies.

Uncover valuable patterns and associations and translate them into actionable business strategies in a data-driven marketplace.

Module 4: Fraud Detection Model

Explore the importance of fraud detection in mitigating financial losses, maintaining trust, and ensuring the integrity of business operations.

Identify fraud patterns and anomalies in transactional data.

Explore various classification algorithms (logistic regression, decision trees, random forests, etc.) and techniques to improve the model’s performance and efficiency.

Discover the evolving fraud techniques and maintain a proactive approach to data fraud prevention.

Module 5: NLP Sentiment Analysis Using LLMs

Gain a comprehensive understanding of NLP techniques and how they can be applied to analyze and extract customer reviews.

Understand sentiment, opinions, and key themes expressed in textual reviews using language models (e.g., LSTMs, BERT).

Extract insights from unstructured text data for actionable decision-making.

Build chatbots and automated text generation for customer support and feedback analysis.

Understand how NLP techniques and LLMs are applied in practical scenarios and their impact on business decision-making and customer satisfaction.

Module 6: Solving a Business Use Case

Under the mentorship of a Data Masters consultant, independently select a specific case or challenge from a specific business domain.

Analyze a problem, transform the data, and prepare the data for modeling.

Choose an appropriate model that will be applied to the prepared data.

Create a scheme and plan for the physical implementation of the solution.

Develop different ways (accuracy, specifications, f1 score, etc.) to evaluate the performance of a machine learning model.

Use tools and techniques for visual representation of data in final reports.

Create a collection of documents that explain the project development process.

Present the final project to a panel of Data Masters consultants, who will evaluate it from a business and technical perspective.

Each student can use their project as the foundation for their data science portfolio.

Benefits

  • Practical Learning Experience: Gain hands-on experience in solving business challenges using advanced analytics techniques. Work on real-world datasets and use industry-standard tools and libraries.
  • Expert Faculty: Learn from experienced data scientists and industry consultants who impart not only knowledge but also practical insights.
  • Targeted Use Cases: Focus on four key business use cases—Customer Segmentation and Personalization, Market Basket Analysis, and Fraud Detection & NLP Reviews Analysis using LLMs—that are crucial in today's competitive landscape in almost every industry.
  • Comprehensive Curriculum: Acquire a strong foundation in advanced analytics while exploring cutting-edge techniques specific to the selected use cases.
  • Practical Tools and Technologies: Work with industry-leading tools and libraries such as Python, scikit-learn, TensorFlow, and NLTK to implement advanced analytics models and algorithms.
  • Capstone Project: Apply your knowledge and skills to a real-world business problem, collaborating with peers to develop a comprehensive analytics solution. Use the project later on as a portfolio to advance your data career.
  • Networking Opportunities: Connect with fellow data enthusiasts, industry professionals, and potential employers through networking events and guest lectures.

Success Stories

Nikola Arsovski

Academy Alumni and Data Analyst at Data Masters

The need to make decisions/conclusions based on analysis was the main "trigger" for me to become interested and familiar with the field of data analysis and processing. While working in a bank, I encountered various situations in which it was necessary to draw conclusions based on a previously made analysis. The final project was really interesting and it was a great and exciting personal challenge. Working on a project from the banking domain allowed me to connect my two experiences: the banking domain knowledge and the newly acquired technical knowledge I gained in the Academy.

Kosta Sekulovski

Academy Alumni and Data Scientist at Data Masters

My major is in Renewable Energy Sources, but the Data Masters Academy allowed me to completely change my career path and embark on a journey as a Data Scientist. I started as an intern at Data Masters in 2020 and over the years, I have worked on several diverse projects involving data analysis, machine learning, and ETL processes. Additionally, I took up the role of teaching Python at our academy. The knowledge and practical experience gained from the final project at the Academy provided an excellent foundation for entering the world of data. I take great pleasure in sharing my experiences with all the participants of the training programs.

5-Step Application Process

Fill In the Application Form

Enter relevant personal information in the application form.

Application Review

After we review your application, our team contacts you and arranges an online meeting.

Online Interview

We will briefly analyze your current knowledge to create personalized steps to prepare before you start the Academy.

Approval

The Data Masters Academy team will contact you to confirm your spot in the group.

Preparation Period

After confirming your application, we send you learning materials to help you adequately prepare for the Advanced Analytics Training and facilitate your onboarding process.

Take the First Step Toward Your Future