Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 3 Minute(s)
Language
English
Taught by
Packt Publishing
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
2 views
Course Overview
Extract and transform your data to gain valuable insights
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently.
This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
About the Author
Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he worked as a Python developer at Qualcomm. He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. His areas of interests include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the Higher-Education industry.
Course Content
- 7 section(s)
- 32 lecture(s)
- Section 1 Descriptive Statistics
- Section 2 Dealing with Missing Data
- Section 3 Dealing with Outliers
- Section 4 Univariate Analysis
- Section 5 Bivariate Analysis
- Section 6 Multivariate Analysis
- Section 7 Bringing It All Together
What You’ll Learn
- Improve your understanding of descriptive statistics and apply them over a dataset.
- Learn how to deal with missing data and outliers to resolve data inconsistencies.
- Explore various visualization techniques for bivariate and multivariate analysis.
- Enhance your programming skills and master data exploration and visualization in Python.
- Learn multidimensional analysis and reduction techniques.
- Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding
Skills covered in this course
Reviews
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DDr R Muruganandham
Very nice
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CCarlos Mario Salazar Díaz
Regarding coding, the course is good, it teaches several techniques of data cleaning and preprocessing
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DDrAK
irytujący akcent. wolałbym kogoś natywnie mówiącego w wykładanym języku. przydałby się ten skrypt w jupyterze, żeby nie trzeba było samemu przepisywać tego co wykładowca pisze. Za szybko przewija okno Jupytera i nie da się przesuwać kursora w filmie z krokiem drobniejszym niż 5 sekund co uniemożliwia uchwycenie interesującego momentu w filmie. Fatalny akcent lektora daje komiczne, ale też nieczytelne efekty w transkrypcie.
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LLinga Harish Kumar I L
This course was good and i learnt a lot from this course. I feel like instead of providing a link for downloading dataset, they can provide the dataset so it will be easy to proceed on.
