INTRO-DA.AE1
Data Analytics
Start your data journey from here to upgrade your data analytical skills.
- Practice in 23 Laboratorios prácticos — nothing to install
- 15 Lecciones interactivas y 63 topics mapped to the official exam objectives
- 280 Preguntas del examen de práctica
Beginner A tu propio ritmo · 1 año de acceso
23 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
15Lecciones interactivas
63Topics
23Laboratorio en vivo
280Preguntas del examen de práctica
79Tarjetas didácticas
79Glosario de términos
01 / Habilidades que obtendrás
What you will be able to do
Try Free →
No se requiere tarjeta de crédito
Enroll for this Data Analytics course that equips you with the knowledge and skills needed to utilize and optimize data for making informed decisions. This Data Analytics online course is designed for beginners as well as professionals wanting to learn more about the use of data in the business landscape. You’ll be exploring a wide range of techniques, from descriptive statistics to advanced predictive modeling. Other than understanding the fundamentals of data, you’ll also learn data preprocessing and description & summarizing techniques. Discover techniques for Text, Web, and Social Media Analysis. By the end of the training course, you’ll be fluent in statistical methods, machine learning algorithms, and data mining techniques.
- Understanding data types, it’s application & importance
- Describe statistics including univariate, bivariate, and multivariate analysis
- Expertise in data cleaning and preparation techniques
- Clustering algorithms to group similar data
- Identify frequent data mining patterns
- Regression analysis to build predictive/forecast models
- Data categorization into different classes
- Learn ensemble learning, algorithm bias, and non-binary classification tasks
- Analyzing text, web, and social media data
Course Highlights
-
15 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
-
23 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
-
280 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
-
1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
15 Lecciones interactivas · 63 topics01 Introduction 2 topics +
- How this Course is Organized
- Who Should Read this Course
02 What Can We Do With Data? 7 topics · 1 Laboratorio en vivo +
- Big Data and Data Science
- Big Data Architectures
- Small Data
- What is Data?
- A Short Taxonomy of Data Analytics
- Examples of Data Use
- A Project on Data Analytics
1 Laboratorio en vivo in this lesson — see the labs panel →
03 Descriptive Statistics 4 topics · 6 Laboratorio en vivo +
- Scale Types
- Descriptive Univariate Analysis
- Descriptive Bivariate Analysis
- Final Remarks
6 Laboratorio en vivo in this lesson — see the labs panel →
04 Descriptive Multivariate Analysis 5 topics · 2 Laboratorio en vivo +
- Multivariate Frequencies
- Multivariate Data Visualization
- Multivariate Statistics
- Infographics and Word Clouds
- Final Remarks
2 Laboratorio en vivo in this lesson — see the labs panel →
05 Data Quality and Preprocessing 6 topics · 3 Laboratorio en vivo +
- Data Quality
- Converting to a Different Scale Type
- Converting to a Different Scale
- Data Transformation
- Dimensionality Reduction
- Final Remarks
3 Laboratorio en vivo in this lesson — see the labs panel →
06 Clustering 4 topics · 1 Laboratorio en vivo +
- Distance Measures
- Clustering Validation
- Clustering Techniques
- Final Remarks
1 Laboratorio en vivo in this lesson — see the labs panel →
07 Frequent Pattern Mining 5 topics · 3 Laboratorio en vivo +
- Frequent Itemsets
- Association Rules
- Behind Support and Confidence
- Other Types of Pattern
- Final Remarks
3 Laboratorio en vivo in this lesson — see the labs panel →
08 Cheat Sheet and Project on Descriptive Analytics 2 topics +
- Cheat Sheet of Descriptive Analytics
- Project on Descriptive Analytics
09 Regression 4 topics · 1 Laboratorio en vivo +
- Predictive Performance Estimation
- Finding the Parameters of the Model
- Technique and Model Selection
- Final Remarks
1 Laboratorio en vivo in this lesson — see the labs panel →
10 Classification 5 topics · 2 Laboratorio en vivo +
- Binary Classification
- Predictive Performance Measures for Classification
- Distance‐based Learning Algorithms
- Probabilistic Classification Algorithms
- Final Remarks
2 Laboratorio en vivo in this lesson — see the labs panel →
11 Additional Predictive Methods 3 topics · 2 Laboratorio en vivo +
- Search‐based Algorithms
- Optimization‐based Algorithms
- Final Remarks
2 Laboratorio en vivo in this lesson — see the labs panel →
12 Advanced Predictive Topics 5 topics · 2 Laboratorio en vivo +
- Ensemble Learning
- Algorithm Bias
- Non‐binary Classification Tasks
- Advanced Data Preparation Techniques for Prediction
- Description and Prediction with Supervised Interpretable Techniques
2 Laboratorio en vivo in this lesson — see the labs panel →
13 Cheat Sheet and Project on Predictive Analytics 2 topics +
- Cheat Sheet on Predictive Analytics
- Project on Predictive Analytics
14 Applications for Text, Web and Social Media 3 topics +
- Working with Texts
- Recommender Systems
- Social Network Analysis
15 Appendix A 6 topics +
- Business Understanding
- Data Understanding
- Data Preparation
- Modeling
- Evaluation
- Deployment
Laboratorios prácticos Our edge
23 Laboratorio en vivos- Extracting Knowledge from Data Using the KDD Process
- Creating a Scatter Plot
- Creating an Area Chart
- Creating a Line Chart
- Creating a Bar Chart
- Creating a Pie Chart
- Creating a Basic Histogram
- Creating a Box Plot
- Creating a Heatmap
- Detecting Outliers
- Normalizing Data
- Transforming Data for Improved Data Summarization
- Performing K-Means Clustering
- Implementing Frequent Itemset Mining Using R
- Implementing the Apriori Algorithm
- Implementing the Eclat Algorithm
- Performing Simple Linear Regression
- Implementing the Naive Bayes Algorithm
- Performing Logistic Regression
- Performing Multivariate Adaptive Regression Splines
- Implementing SVM for Regression
- Implementing the AdaBoost Method
- Performing One-Class Classification
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
What is this online Data Analytics training course? +
It is a comprehensive online training course that teaches you data analytics techniques, from fundamental to advanced topics. You’ll be learning about statistics, data preprocessing, clustering, frequent pattern mining, regression, classification, and more.
Is this a good starting point for a career in Data Science? +
Yes, it is the perfect Data Analytics training for beginners that equips you with the fundamental skill and knowledge required for critical business analysis.
Who will resolve my doubts related to the course content?+
This Data Analytics online course has the provision for an AI tutor (on demand). You can resolve all your course related questions there.
How will I practice my data analytical skills?+
There is a provision for hands-on Lab feature that enables you to practice your new-found learnings in a safe virtual environment.
Will I get a certificate after completing this course?+
Yes, you’ll get a Data Analytics Certification on course completion. You’ll have to appear for a post assessment at the end of this course to earn your certification.
Master Data Analytics: Start To Finish!
Start your data journey from here to upgrade your data analytical skills.
- 1 año de acceso completo
- 23 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito