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The instructor will help you get real-life experience of using Python with his skills and knowledge. Curriculum How to program in Python language Using Numpy and Python to create arrays. Using Pandas to create and analyze data sets. Using matplotlib and seaborn libraries for the creation of better data visualization. Getting an amazing portfolio of example python data analysis projects! An understanding of Machine Learning and SciKit Learn! Duration: 21 hours Fees: ₹455 5. Introduction to Data Analysis (Udacity) Introduction to Data Analysis a course designed for the beginners to get you through the basics of data analysis. In this course, you will be directed through the entire cycle of data analysis, which involves wrangling your data in a format that can be used to solve problems, interact with your results, and some other ideas. You'll learn how to use Python libraries such as NumPy, Pandas, and Matplotlib for cleaner, concise, faster code writing. Curriculum Data Analysis Process NumPy and Pandas for 1D Data NumPy and Pandas for 2D Data Investigate a Dataset Duration: 6 weeks Fees: FREE These are the Top 5 Online Data Analytics courses on platforms.
Getting trained with these concepts will allow you to move your career in the field of data analysis. Curriculum Introduction to the data science field Data Analysis Process Data Wrangling How to program in Python. Duration: 4 weeks 3. Data Analysis with Python: Coursera The Data Analysis with Python course by Coursera enables you to learn to analyze data using python. It takes you from the introduction of Python to exploring a number of different data forms. Learn how to prepare data for analysis, conduct basic statistical analysis, construct practical visualizations of data, forecast future data trends, and more! Curriculum Importing Datasets Data Wrangling Exploratory Data Analysis Model Development Duration:4 weeks Fees: ₹2, 943 4. Learn Python for Data Analysis and Visualization (Udemy) With the Learn Python for Data Analysis and Visualization course, you will gain a good knowledge of how to use Python programming and how to use it for data processing in optimization with computing modules and libraries.