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Data Analytics Bootcamp

About ๐Ÿ”Ž

The 6 months Data Analytics Bootcamp by Resilia Educaรงรฃo (450 hours in total) is an intense online training to prepare for a career as Data Analyst. Along with tech classes about programming, data manipulation and interpretation, it also offers classes focused on job hunting, agile methodologies and soft skills such as assertive communication, learning how to learn, adaptability, time management, leadership, resilience and teamwork. Iโ€™ve attended the bootcamp between May and November 2022. My final certification is available for consultation.๐Ÿ“œ

All the projects were made in my native language, Portuguese. However, through this repository, I've tried to describe them in English, so I can present my work to more people. It was also a personal challenge to write in another language!๐Ÿ˜Š


Course Curriculum ๐Ÿ—‚๏ธ

By clicking on the left arrow, you can read the topics covered in each module:

Details

1st module: Introduction to Programming Logic and How to Prepare for Job Selection Processes

โš™๏ธ Hard Skills: Algorithm; Computational thinking; Logic programming; Introduction to Python; Data input and output; Functions and modules; Code versioning; Introduction to Git and GitHub.

๐Ÿง  Soft Skills: Growth mindset; Learning how to learn; Habits; Routine management; CV and LinkedIn; Preparing for job interviews; Networking; Individual Development Planning (IDP).

Details

2nd module: Data Structure, OOP and Emotional Intelligence

โš™๏ธ Hard Skills: Virtual environments, Data structures: lists, stacks, queues, dictionaries and tuples; Functions, procedures and methods; Object-oriented programming.

๐Ÿง  Soft Skills: Emotional intelligence ; Technical tasks in selection processes; Professional Attitude; Storytelling; Communication and Oratory; Job Hunting.

Details

3rd module: Databases and Interpersonal Relationships

โš™๏ธ Hark Skills: Relational databases; Data modelling; CRUD with SQL; Joins, queries, subqueries and views.

๐Ÿง  Soft Skills: Interpersonal relationships; Feedback ; Professional attitude; Corporative Communication and writing techniques; Diversity in the job market.

Details

4th module: Data Analysis and Agile methodologies

โš™๏ธ Hark Skills: Google Collaboratory; Descriptive Statistics; Introduction to Pandas, Numpy, Matplotlib and Seaborn libraries; Data cleaning, transformation and analysis.

๐Ÿง  Soft Skills: Agile methodologies; SCRUM; Organization.

Details

5th module: Data Visualization with Power BI and Tableau

โš™๏ธ Hard Skills: Chart and graph types; Data visualization and analysis with Tableau and Power BI.

๐Ÿง  Soft Skills: Introduction to Business; Creativity; Innovation; Problem-solving; Reviewing employability concepts.


Projects ๐Ÿ—๏ธ

During the course, I completed individual and group challenges. You can access them using the following links:

๐Ÿ”—Individual Projects

๐Ÿ”—Squad Projects

About

A detailed compilation of the projects I developed in my first Data Analysis Bootcamp. ๐Ÿ“ˆ

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