I wanted to share my personal journey in the world of data, through self-learning. It is very nice to celebrate the achievements made and the certificates obtained that reflect my growth and progress in this exciting field
Course | Google:
- Google Data Analytics Professional Certificate
- Foundations: Data, Data, Everywhere
- Prepare Data for Exploration
- Analyze Data to Answer Questions
- Google Data Analytics Capstone: Complete a Case Study
- Share Data Through the Art of Visualization
- Process Data from Dirty to Clean
- Ask Questions to Make Data-Driven Decisions
- Data Analysis with R Programming
- Google Business Intelligence Professional Certificate
- Linux and Bash for Data Engineering
- Ask Questions to Make Data-Driven Decisions
- Data Analysis with R Programming
- Google Business Intelligence Professional Certificate
Project | Coursera Project Network:
Project | Google Coud
- Visualizing Data with Google Data Studio
- Exploring and Preparing your Data with BigQuery
- Path certificates:
- Python Basics for Data Analysis
- Probability and Statistics with Python
- Machine Learning Introduction with Python
- Data Cleaning with PythonAdd to LinkedIn
- Data Analysis and Visualization with Python
- Data Scientist in Python
- Machine Learning Intermediate with Python
- Data Analyst in Python
- APIs and Web Scraping with Python
- Course certificates:
- Introduction to SQL and Databases
- Python Functions and Jupyter Notebook
- Introduction to Python for Data Engineering
- Introduction to Git and Version Control
- Machine Learning Project Walkthrough
- Introduction to Kaggle
- Intermediate Command Line for Data Science
- Basic Operators and Data Structures in Python
- Introduction to Deep Learning
- Decision Tree Modeling in Python
- Intermediate Machine Learning in Python
- Linear Regression Modeling in Python
- Linear Algebra For Machine Learning
- Calculus For Machine Learning
- Introduction to Conditional Probability in Python
- Hypothesis Testing in Python
- Querying SQLite From Python
- Command Line for Data Science
- Intermediate Statistics in Python
- Introduction to Statistics in Python
- Intermediate SQL for Data Analysis
- SQL Fundamentals
- Introduction to Data Analysis in Microsoft Power BI
- Data Analysis for Business in Python
- Advanced Data Cleaning in Python
- Introduction to Python Programming
- Introduction to Probability in Python
- Introduction to Data Analysis in Excel
- Dictionaries, Frequency Tables, and Functions in Python
- Intermediate Python for Data Science
- Introduction to Data Visualization in Python
- Introduction to Machine Learning in Python
- Telling Stories Using Data Visualization and Information Design
- Python for Data Science: Fundamentals Part II
- Advanced Python Functions for Data Science
- Data Cleaning and Analysis in Python
- Introduction to APIs and Web Scraping in Python
- Analyzing Large Datasets in Spark and Map-Reduce
- Introduction to Pandas and NumPy for Data Analysis
- For Loops and Conditional Statements in Python
- Exploratory Data Visualization
- Text Processing for Data Science
- Data Cleaning Project Walkthrough
- Python for Data Science: Fundamentals Part I
- Introduction to Data Analysis in R
- Part certificates:
- Advanced Topics in Data Analysis
- The Command Line
- Python Introduction
- Introduction to Python
- Python Basics for Data Analysis
- Advanced Topics in Data Science
- Probability and Statistics
- APIs and Web Scraping in Python
- Working with Data Sources
- The Command Line and Git
- Data Analysis and Visualization
- Machine Learning Intermediate with Python
- Machine Learning Intermediate
- Data Cleaning
- Data Cleaning in Python
- Intermediate Python and Pandas
- Data Analysis and Visualization with Python
- Deep Learning in Python
- Machine Learning Introduction
- Machine Learning Introduction with Python
- Probability and Statistics with Python
- Statistics Fundamentals for Data Analysis in Python
- Data Wrangling and Visualization in Python
- Data Cleaning with Python
- APIs and Web Scraping with Python
Each certificate represents hours and hours of self learning, challenges conquered, and a good amount coffee.
Thanks to my Parents Antonio and Ignacia 💫 who are always close to me and my very friend Ana Prats for the very big deep support on this journey 🫶.
Let’s go for more!