Data analysis with python ibm
About this CourseLearn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Show
Flexible deadlines Reset deadlines in accordance to your schedule. Shareable Certificate Earn a Certificate upon completion 100% online Start instantly and learn at your own schedule. Approx. 14 hours to complete English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Turkish, English, Spanish, Persian What you will learn
Skills you will gain
Flexible deadlines Reset deadlines in accordance to your schedule. Shareable Certificate Earn a Certificate upon completion 100% online Start instantly and learn at your own schedule. Approx. 14 hours to complete English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Turkish, English, Spanish, Persian InstructorOffered byIBM Skills NetworkIBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world. Syllabus - What you will learn from this courseWeek 1Importing DatasetsIn this module, you will learn how to understand data and learn about how to use the libraries in Python to help you import data from multiple sources. You will then learn how to perform some basic tasks to start exploring and analyzing the imported data set. 6 videos (Total 20 min), 1 reading, 6 quizzes Week 2Data WranglingIn this module, you will learn how to perform some fundamental data wrangling tasks that, together, form the pre-processing phase of data analysis. These tasks include handling missing values in data, formatting data to standardize it and make it consistent, normalizing data, grouping data values into bins, and converting categorical variables into numerical quantitative variables. 6 videos (Total 19 min), 1 reading, 6 quizzes Week 3Exploratory Data AnalysisIn this module, you will learn what is meant by exploratory data analysis, and you will learn how to perform computations on the data to calculate basic descriptive statistical information, such as mean, median, mode, and quartile values, and use that information to better understand the distribution of the data. You will learn about putting your data into groups to help you visualize the data better, you will learn how to use the Pearson correlation method to compare two continuous numerical variables, and you will learn how to use the Chi-square test to find the association between two categorical variables and how to interpret them. 6 videos (Total 20 min), 1 reading, 6 quizzes Week 4Model DevelopmentIn this module, you will learn how to define the explanatory variable and the response variable and understand the differences between the simple linear regression and multiple linear regression models. You will learn how to evaluate a model using visualization and learn about polynomial regression and pipelines. You will also learn how to interpret and use the R-squared and the mean square error measures to perform in-sample evaluations to numerically evaluate our model. And lastly, you will learn about prediction and decision making when determining if our model is correct. 6 videos (Total 27 min), 1 reading, 6 quizzes Reviews
TOP REVIEWS FROM DATA ANALYSIS WITH PYTHONby BDNov 23, 2019 Really interesting course, if one wants learn programming language. Well designed and structured. Only suggestion is, if the small videos contains example that be really great to understand it well by LMMar 10, 2020 Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
by WZNov 8, 2020 A great introduction to fitting data in python. The core principles and measures are well explained. The only slight minus point: No information about the interpretation of fitting parameters. by CTMay 14, 2021 Good course, sometimes moves a bit fast in the final modules and the labs are quite tough but great course and would recommend to broaden your knowledge of coding, data analysis and visualisation View all reviews
More questions? Visit the Learner Help Center. Can you Analyse data with Python?In the Data Analysis with Python Certification, you'll learn the fundamentals of data analysis with Python. By the end of this certification, you'll know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Which Python is best for data analysis?Pandas (Python data analysis) is a must in the data science life cycle. It is the most popular and widely used Python library for data science, along with NumPy in matplotlib.
What is IBM Python?An open-source interpreted high-level programming language for general-purpose programming.
What is the process of data analysis in Python?The process consists of several steps:. Importing a dataset.. Understanding the big picture.. Preparation.. Understanding of variables.. Study of the relationships between variables.. Brainstorming.. |
