Applied Data Science Training in Mexico

Program Date

13 Nov 17 Nov 2023

Program Location

Mexico

Program Venue

Barceló México Reforma

Registration Closing Date

30 Sep 2023

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.

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 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

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.

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.

Applied Data Science Training in Mexico

Program Date

Program Location

Program Venue

Registration Closing Date

Program Overview

Target Audience

Program Objectives

Program Contents

First Day – Getting Started with Data Analysis and Visualization

Second Day – Supervised Machine Learning

Third Day – Business Intelligence Forecasting with R and PYTHON

Fourth Day – Unsupervised Machine Learning & PMP for Data Scientists

Fifth Day – IoT and Big Data Ecosystem

Program Methodology

Program Fee GBP3360

Payment Options

Fee Covers

Visa Assistance (Complimentary)

Participant Assessment

Airport Pickup

Accommodation

Wi-Fi

Welcome Dinner

Breakfast

Workshop Kit

Program Materials

Program Experts

Practical Activities

Lunch

Refreshments

Interactive workshop

City Map & Direction

Risalat T-shirt

Field Visit

Program Certificate

Entertaining Tour

Program Report

Registration Information

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Program Fee
GBP3360