Data Science: Correlação no R, do zero ao avançado em 5h
Master data analysis with correlation methods (Pearson, Spearman). Learn data mining & statistical processing for Big Data insights. Boost your Data Science skills!
Course Content
Data Science: Correlação no R, do zero ao avançado em 5h is an all-levels Udemy course taught by Isaías Lira. It runs 4h 13m, is taught in Portuguese, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 162 reviews, with 1,017 students enrolled. It is a paid course, last updated October 2023.
Unlock Your Data Analysis Potential: Statistical Tests for Comparing Two Groups
Ready to elevate your career with in-demand data science skills? This course provides a straightforward, practical guide to performing statistical tests for comparing two groups, empowering you to make informed decisions based on data.
Developed by Isaías M. Lira, a Statistician, Data Analysis Consultant, and Higher Education Specialist, this course demystifies statistics and transforms it into a valuable asset for your professional journey.
Why Data Science?
The Data Scientist role is consistently ranked as the #1 job by Glassdoor, boasting an average salary exceeding $120,000 in the US. This field is experiencing explosive growth, with a significant skills gap. If you already have programming experience, consider leveraging the power of R, the leading language for Data Science.
What You'll Learn:
- Statistical Tests for Comparing Two Groups: Master essential techniques for analyzing data and drawing meaningful conclusions.
- Data Correlation: Understand the nuances of correlation analysis and how to identify truly relevant relationships between variables. Learn what makes a correlation reliable.
- R Programming: Gain practical experience using R, a powerful and widely-used tool for statistical analysis and data analysis.
- Practical Exercises: Reinforce your learning with numerous hands-on exercises.
- Simplified Methodology: Benefit from a clear, easy-to-follow approach to complex statistical concepts.
Course Structure & Roadmap:
To ensure a logical learning progression, consider this course sequence:
- R Programming: Build a solid foundation in the R language.
- Data Visualization in R: Create compelling visualizations to communicate your findings.
- Maps in R: Explore geospatial data analysis with R.
- Correlation in R: Deep dive into correlation analysis techniques.
- SPSS Course: Learn the fundamentals of SPSS.
- Linear Regression in SPSS-R-Excel: Master linear regression modeling.
- Comparing Two Groups in SPSS: Apply statistical tests to compare two groups.
(Note: Course titles may be updated. For the most current list, visit "My Courses" on Udemy, navigate to the course overview, and find the instructor's profile.)
Invest in Your Future:
This course offers comprehensive content, practical exercises, and an innovative approach to learning data science and machine learning in R. It's a valuable investment in your career. Don't miss the opportunity to acquire the skills the market demands today!
Ready to take the next step? Join us and unlock the power of data!
Want AI in your product? Hire the team behind TutorialSearch.io
LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.