Programme Overview
Over the last few decades, the amount of generated and retained data by the companies has skyrocketed. In today’s world data has become one of the most powerful tools that any organization can have if they know how to obtain valuable insights from it. Data Science powers contemporary business value and uncovers a vast array of perspectives for growth. More and more companies are opening their doors for big data, therefore the demand for progress-driven data scientists with field expertise and honed analytical skills has reached the level unseen before.
Applied Data Science Training in Mexico familiarizes its participants to the best practices of Data Science. It covers a wide range of disciplines that data analytics relates to. Upon the successful completion of this programme you will be able to apply the power of R and PYTHON, Analyze and Visualize Data, employ powerful machine learning algorithms and convert your data into meaningful statistics that fuels business growth and development.
Target Audience
This training course is well-suited for those professionals who are willing to employ data science to resolve business-related issues. It would prove highly beneficial for anyone who is looking for a robust structured learning programme including but not limited to:
- Software and Data Engineers
- Data Scientists
- Data Analysts
- Economists or Researchers
- Functional Executives and Senior Level Managers.
Programme Objectives
Upon the successful completion of this Applied Data Science Training in Mexico, participants will be able to:
- Model, Store and Process large datasets using latest algorithms and techniques
- Comprehend the importance of data-based solutions to various business challenges
- Demonstrate deep understanding of pattern finding and predictive models and decide between “proprietary” and “open source” technologies
- Apply functions for statistical and mathematical analysis along with machine learning algorithms
- Compare solutions related to Data Analysis vs. Machine Learning
- Manage Data Science projects with project management best practices
- Design end to end data-driven solutions to business problems and evaluate the effectiveness of different options.
Programme Contents
- Data Types
- Visualizing Data
- Evaluating Representative Quality of Data
- Summarizing data using descriptive statistics
- Group Profiling with Statistical Tests
- Visualizing multiple analytics using powerful smart charts
- Multiple linear and logistic regressions
- Functions and Probabilistic Models for Discriminant Analysis
- CART – CHAID and Random Forests
- Support Vector machines
- Naïve Bayes
- Neural networks, deep learning and AI possibilities
- Business Intelligence (Databases, ETL, Storage, Analytics)
- Forecasting (Trends, Exponential smoothing, Time Series, ARIMA models)
- R vs. Python (Statistical Tests and Machine Learning algorithms)
- Principle Component Analysis
- Clustering: Hierarchical and K Means
- Simple correspondence analysis
- Multi-dimensional scaling
- Quadrant analysis
- PMP for Data Scientists
- IoT essentials – M2M and Embedded Systems
- Basic IoT protocols
- Big Data: “where” and “when”
- Big Data distributed files with HDFS
- MapReduce vs. Spark Data Sharing
- Big Data Ecosystem bird’s eye view: Spark, Mongo DB, Cassandra, Flume, Cloudera, Oozie, Mahout.
Full day-by-day contents
First Day – Getting Started with Data Analysis and Visualization
- Data Types
- Visualizing Data
- Evaluating Representative Quality of Data
- Summarizing data using descriptive statistics
- Group Profiling with Statistical Tests
- Visualizing multiple analytics using powerful smart charts
- Simple Linear and Logistic Regression
- Managing and Removing Outliers
Second Day – Supervised Machine Learning
- Multiple linear and logistic regressions
- Functions and Probabilistic Models for Discriminant Analysis
- CART – CHAID and Random Forests
- Support Vector machines
- Naïve Bayes
- Neural networks, deep learning and AI possibilities
Third Day – Business Intelligence Forecasting with R and PYTHON
- Business Intelligence (Databases, ETL, Storage, Analytics)
- Forecasting (Trends, Exponential smoothing, Time Series, ARIMA models)
- R vs. Python (Statistical Tests and Machine Learning algorithms)
Fourth Day – Unsupervised Machine Learning & PMP for Data Scientists
- Principle Component Analysis
- Clustering: Hierarchical and K Means
- Simple correspondence analysis
- Multi-dimensional scaling
- Quadrant analysis
- PMP for Data Scientists
- Integration, Cost, Scope
- Time, Cost, Quality, Communication
- Risk, Procurement and Stakeholders
Fifth Day – IoT and Big Data Ecosystem
- IoT essentials – M2M and Embedded Systems
- Basic IoT protocols
- Big Data: “where” and “when”
- Big Data distributed files with HDFS
- MapReduce vs. Spark Data Sharing
- Big Data Ecosystem bird’s eye view: Spark, Mongo DB, Cassandra, Flume, Cloudera, Oozie, Mahout.
Programme Methodology
Being highly participatory in nature, this training course in Mexico provides scope for active interaction between the instructor and attendees. By using innovative methods of Coaching, step-by-step case studies and plenty of hands-on exercises, Risalat team will make sure you are industry ready upon completion of this workshop.
Course Deliverables
Participants will enjoy a full-service experience that covers everything needed before, during, and after the programme:
Before the Programme
- Participant Pre-Assessment to ensure effective preparation
- Complimentary Visa Support & Advisory (E-visa applications are fully processed by our team)
During the Programme
- Airport Pickup & Welcome Assistance
- Accommodation with Breakfast for the full duration
- Welcome Dinner for networking and connecting with fellow Participants & the Risalat Team
- Risalat Training Kit, including: bag, water bottle, coffee mug, t-shirt, cap, passport cover, pens, notebook, magnet, keychain
- Lunch Provided Daily during training days
- Comprehensive Course Manual & Training Materials
- Project-Based Templates, Tools, and Worksheets
- Mini Pad / Tablet for convenient access to digital resources
- Digital Case Studies, Reading Packs & Reference Materials
- Access to Sample Datasets & Practical Exercises
- Field Visit (where applicable)
- Complimentary Refreshments & Full Training Venue Facilities
- Access to Online Learning Resources
- Entertaining City Tour
- Certificate of Completion
- Risalat Programme Participation Recognition Award
After the Programme
- Post-Training Support & Follow-Up Guidance
- Programme Report
£3,360 per participant · invoice and bank transfer · groups of 5 or more receive a discount
Five or more from one organisation: ask for the group rate on the invoice request.
Ten or more: an in-house version for your institution may cost less per person. Ask for an in-house quote.
Registration closes in 13 days (31 Oct 2026)
