Data Analysis
Become a Professional Data Analyst Fast with Practice Materials
- Duration: 12 Weeks
- Training: Online/Onsite
- Course Fee:
About This Course
Master the art of extracting insights from data with our Data Analysis program. Dive into courses covering statistical methods, data visualization, and machine learning algorithms. Gain hands-on experience with industry-standard tools like Python, R, and SQL, and learn to uncover valuable insights that drive business decisions. Join us to become a skilled data analyst and unlock the potential of data in any industry.
Course Overview
- Overview of data analysis
- Overview of data analysis
- Basic concepts and terminology
- Methods of data collection
- Data cleaning techniques
- Hands-on practice
- Introduction to data visualization
- Common visualization tools (e.g., Excel, Tableau)
- Measures of central tendency and variability
- Hands-on practice with sample datasets
- Introduction to CAN Bus
- Other automotive communication protocols (LIN, FlexRay)
- Apply descriptive and inferential statistics to a real dataset
- Probability theory
- Hypothesis testing
- Confidence intervals
- Apply descriptive and inferential statistics to a real dataset
- Create a telematics system prototype
- Integrate GPS and communication modules
- Introduction to Python for data analysis
- Libraries: Pandas, NumPy
- Introduction to R for data analysis
- Libraries: dplyr, ggplot2
- Introduction to machine learning
- Supervised vs. unsupervised learning
Course Benefits
- Understand the fundamentals of data analysis and Familiarize with key terminologies
- Learn data collection methods and Understand data cleaning processes
- Understand basic data visualization principles
- Learn to summarize and describe data sets
- Understand inferential statistics principles
- Integrate statistical knowledge into practical scenarios
- Gain proficiency in using Excel for data analysis
- Learn basic Python programming for data analysis
- Learn basic R programming for data analysis
- Apply R skills cohesively
- Understand the basics of machine learning
