The Data Analyst Course: Complete Data Analyst Bootcamp Description
Many data analyst, data science, and coding courses often overlook a crucial practical aspect: the hands-on experience of working with raw data, understanding how to clean and preprocess it. This results in a significant gap between the skills required for the job and those acquired during training. In truth, real-world data is inherently messy, demanding the ability to navigate and clean it effectively for aspiring independent data professionals.Most online bootcamps and even live classes we’ve observed tend to neglect this critical step, focusing primarily on demonstrating how to work with ‘clean’ data. However, this approach doesn’t ultimately benefit you. In reality, it can hinder both your job application process and your performance on the job itself.
Requirements
- No prior experience is required. We will start from the very basics
- You’ll need to install Anaconda. We will show you how to do that step by step
What You’ll Learn in The Data Analyst Course: Complete Data Analyst Bootcamp course
The course offers comprehensive training to prepare you thoroughly for a career as a data analyst. Enhance your resume by acquiring sought-after data skills, including Python programming, NumPy, pandas, and various aspects of data handling such as collection, cleaning, preprocessing, visualization, analysis, and analytics. Gain a holistic understanding of the data analyst role and develop proficiency in both beginner and advanced levels of Python. Delve into the mathematical concepts relevant to Python and receive detailed instruction on NumPy and pandas, covering both fundamental and advanced aspects.Learn to work with text files and grasp the nuances of different data types along with their memory usage. Acquire the skills to extract real-time information from APIs using simple scripts and master the art of cleaning data with pandas Series and DataFrames. Put your skills to the test by completing a data cleaning exercise focused on absenteeism rates.
Deepen your knowledge of NumPy by exploring statistics and preprocessing techniques. Apply your newfound skills in a practical setting by undertaking a comprehensive loan data case study. Develop mastery in data visualization, creating a variety of charts including pie, bar, line, area, histogram, scatter, regression, and combo charts.
Engage in coding exercises designed to prepare you for real-world scenarios and practice with authentic datasets. Cap off your learning journey by solving a final capstone project, showcasing your proficiency as a data analyst.
Who this course is for:
- You should take this course if you want to become a Data Analyst and Data Scientist
- This course is for you if you want a great career
- The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
