What you’ll learn
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The course provides the complete preparation you need to become a data analyst
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Fill up your resume with in-demand data skills: Python programming, NumPy, pandas, data preparation – data collection, data cleaning, data preprocessing, data visualization; data analysis, data analytics
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Acquire a big picture understanding of the data analyst role
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Learn beginner and advanced Python
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Study mathematics for Python
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We will teach you NumPy and pandas, basics and advanced
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Be able to work with text files
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Understand different data types and their memory usage
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Learn how to obtain interesting, real-time information from an API with a simple script
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Clean data with pandas Series and DataFrames
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Complete a data cleaning exercise on absenteeism rate
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Expand your knowledge of NumPy – statistics and preprocessing
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Go through a complete loan data case study and apply your NumPy skills
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Master data visualization
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Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts
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Engage with coding exercises that will prepare you for the job
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Practice with real-world data
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Solve a final capstone project
Our goal is to provide you with complete preparation. And this course will turn you into a job-ready data analyst. To take you there, we will cover the following fundamental topics extensively.
- Theory about the field of data analytics
- Basic Python
- Advanced Python
- NumPy
- Pandas
- Working with text files
- Data collection
- Data cleaning
- Data preprocessing
- Data visualization
- Final practical example
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
Deal Score-7
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