The Data Analyst Course: Complete Data Analyst Bootcamp 2024
The Data Analyst Course: Complete Data Analyst Bootcamp 2024
Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization
Created by 365 Careers | 20.5 hours on-demand video course
Welcome to The Data Analyst Course: Complete Data Analyst Bootcamp Course. Most data analyst, data science, and coding courses miss a critical practical step. They don’t teach you how to work with raw data, how to clean, and preprocess it. This creates a sizeable gap between the skills you need on the job and the abilities you have acquired in training. Truth be told, real-world data is messy, so you need to know how to overcome this obstacle to become an independent data professional.
The bootcamps we have seen online and even live classes neglect this aspect and show you how to work with ‘clean’ data. But this isn’t doing you a favour. In reality, it will set you back both when you are applying for jobs, and when you’re on the job.
The Data Analyst Course: Complete Data Analyst Bootcamp
What you’ll learn
- The course provides the complete preparation you need to become a data analyst
- 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
- Acquire a big picture understanding of the data analyst role
- Learn beginner and advanced Python
- Study mathematics for Python
- We will teach you NumPy and pandas, basics and advanced
- Be able to work with text files
- Understand different data types and their memory usage
- Learn how to obtain interesting, real-time information from an API with a simple script
- Clean data with pandas Series and DataFrames
- Complete a data cleaning exercise on absenteeism rate
- Expand your knowledge of NumPy – statistics and preprocessing
- Go through a complete loan data case study and apply your NumPy skills
- Master data visualization
- Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts
- Engage with coding exercises that will prepare you for the job
- Practice with real-world data
- Solve a final capstone project
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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
