Complete Data Analysis with Pandas : Hands-on Pandas Python - Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python
JOIN OTHER 40,000 SUCCESSFUL STUDENTS WHO HAVE ALREADY ENROLLED & MASTERED PYTHON & PANDAS SKILLS (DATA ANALYSIS LIBRARY) WITH ONE OF MY BEST SELLING, TOP RATED COURSE.
Hi, I am Ankit, one of the Best Selling author on Udemy, taught various courses on Data Science, Python, Pandas, PySpark, Model Deployment.
By the end of this course, you will able to apply all majority of Data analysis function on various different datasets with built in function available in pandas. Analysis techniques like exploratory data analysis, data transformation, data wrangling, time series data analysis, analysis through visualization and many more. Carry on reading to know more about course.
The era of Microsoft Excel is going to be over, so would you like to learn the next generation one of the most powerful data processing tool and in demand skill required for data analyst, data scientist and data engineer. Then this course is for you, welcome to the course on data analysis with python’s most powerful data processing library Pandas.
What you’ll learn
- Update your resume with one of the in demand skill : Data analysis Pandas
- Setting up Python in anaconda environment
- Refresh Python basics with crash course
- Learn Most demanded python data analysis library : Pandas
- Three important data structure of pandas : Series, Data Frame, Panel
- Learn how to analyse one, two and three dimensional data
- How to group Data for analysis
- How to deal with Text Data with Pandas Functions
- Analyse data having multiple level index.
- Array and Matrix manipulation Library NumPy
- Master pandas with quizzes.
- Data Visualization Matplotlib and Seaborn Library
- Importing data from various different kinds of sources
- Complete Machine Learning work flow implementation with Scikit-learn
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