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Must Enroll For Data Science Courses For Certification
- Fundamental R programming skills
- Statistical concepts such as probability, inference, and modeling and how to apply them in practice
- Gain experience with the tidy verse, including data visualization with ggplot2 and data wrangling with dplyr
- Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
- Implement machine learning algorithms
- In-depth knowledge of fundamental data science concepts through motivating real-world case studies
- According to the forecasts of the World Economic Forum, by 2020 data analysts will be in high demand in companies around the world.
- A recent LinkedIn Workforce Report maintains that, in the USA, demand for these professional figures has grown sixfold compared to five years ago, and data analysts will continue to be the most sought after profiles over the next five years.
- The average yearly salary of a data analyst is among the very highest in the broader labor market.
- Fundamentals of Data Analysis
- Querying with T-SQL
- Pivot Tables and manipulation of data for visualization
- How to develop algorithms for the statistical analysis of big data;
- Knowledge of big data applications;
- How to use fundamental principles used in predictive analytics;
- Evaluate and apply appropriate principles, techniques, and theories to large-scale data science problems.