Applied Data Science Training in Mexico

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Program 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.

This training course 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 program 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 program including but not limited to:

  • Software and Data Engineers
  • Data Scientists
  • Data Analysts
  • Economists or Researchers
  • Functional Executives and Senior Level Managers.

Program 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.

Program Contents

Day 1 - 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

Day 2 - 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

Day 3 - 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)

Day 4 - 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

Day 5 - 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.

Program Methodology

Being highly participatory in nature, this training course 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.

Registration Information

Program Name: Applied Data Science Training in Mexico

Program Code: ADST21M

Program Dates: 21 - 25 June 2021

Registration Closes on: 30 April 2021 

Venue: Barceló México Reforma

Program Fee: $4550

Fee Covers: Visa Assistance (complementary), Participant Assessment, Airport Pickup, Accommodation, Wi-Fi, Breakfast, Workshop Kit, Interactive workshop, Program Materials, Local Expert, Practical Activities, Lunch, Refreshments, City Map, Field Visit, Certificate & Entertaining Tour.

Register Online  

Online Payment via PayPal

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Call/Viber/WhatsApp: +995 555 11 66 22 or +372 8160 7711

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