Description
Become a Data Analyst, a data analyst training course, is published by Udacity Academy. This program prepares students for a career as a data analyst by teaching them to organize data, discover patterns and insights, draw meaningful conclusions, and clearly communicate important findings. he does. Learners will develop their proficiency in Python. And they will learn its data analysis libraries (Numpy, Pandas, Matplotlib) and SQL while building their portfolio to display in their job search. The amount of time required varies depending on how quickly students work throughout the course. We have included an hourly estimate for each part of the program. This program covers a period of three months (about 13 weeks). If students work about 10 hours per week during the program, they should complete the course in 13 weeks.
Students will have another four weeks after the end of the course to complete all projects. To succeed in this program, we recommend that you have experience working with data in Python (Numpy and Pandas) and SQL. Improve your programming skills and improve your ability to work with messy and complex data sets. You will learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you will learn to use your data skills to explain the meaning behind each piece of data. Learn the process of data analysis by discussing, exploring, analyzing, and communicating data. Work with data in Python using libraries like NumPy and Pandas.
What you will learn
- An introduction to data analysis
- Practical statistics
- Data sorting
- Data visualization with Python
- Jupyter Notebooks
- Programming workflow for data analysis
- The Simpsons Paradox
- Binomial distribution
- Conditional probability
- Bayes’ rule
- Sampling distribution, central limit theorem
Who is this course suitable for?
- If you are someone who wants to make data-driven decisions or work with different types of data to perform analysis or are interested in becoming a data analyst, this course is ideal for you. Because you’ll learn applied statistics, interpolating data with Python, and data visualization with Matplotlib, which enables you to work with any data set and find and display meaningful information.
Description of the Become a Data Analyst course
Chapters of Become a Data Analyst course
#Welcome to Term 1!
# Introduction to Python
# Introduction to Data Analysis
# Practical Statistics
# Congratulations and next steps
#Welcome to Term 2!
# Exploratory Data Analysis
# Data Wrangling
# Data Story Telling
# Congratulations and next steps
# (Elective) How to use Git and GitHub
# (Elective) Career: GitHub Profile Review
# (Elective) Career: Networking
# (Elective) Career: Job Search Strategies
# (Elective) Career: Data Analyst Interview Practice
# (Elective) Intro to Machine Learning
# (Elective) Matrix Math and Numpy Refresher
# (Elective) (New) Introduction to Python
# (Elective) Introduction to Python
Course prerequisites
- Python standard libraries
- Working with data with Pandas and NumPy
Pictures
Sample video
Installation guide
In order to view the courses of the course in an organized and regular way, run the index.html file and run the videos through this file.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
9.87 GB
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