This course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a dataset ready for training.
This course is part of the CertNexus Certified Data Science Practitioner Professional Certificate
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About this Course
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Course 3 of 5 in the
Intermediate Level
Understand data science concepts, experience with programming languages (Python), libraries (NumPy,pandas) and database querying languages (SQL).
Approx. 21 hours to complete
English
Subtitles: English
Skills you will gain
- Data Insight
- Data Analysis
- Dissemination
- Preprocess Data
- Data Visualization (DataViz)
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.
Course 3 of 5 in the
Intermediate Level
Understand data science concepts, experience with programming languages (Python), libraries (NumPy,pandas) and database querying languages (SQL).
Approx. 21 hours to complete
English
Subtitles: English
Offered by
CertNexus
CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for Business, Data, Development, IT, and Security professionals. CertNexus’ exams meet the most rigorous development standards possible which outlines a global framework for developing personnel certification programs to narrow the widening skills gap.
Syllabus - What you will learn from this course
2 hours to complete
Examine Data
In the previous course in this specialization, you conducted extract, transform, and load (ETL) to ensure your data was ready for the next phase of the data science process: analysis. In some cases, an analysis of the data may be the actual final goal of the project, or it may be an important intermediary step on the road to machine learning. In either case, analyzing your data using various techniques will help you obtain useful insights into that data and what it represents. It'll also give you a better understanding of how the data needs to undergo more processing to prepare it for machine learning. You'll begin your analysis efforts by exploring the nature of your dataset and the relationships it contains.
2 hours to complete
10 videos (Total 47 min), 2 readings, 1 quiz
2 hours to complete
Explore the Underlying Distribution of Data
One of the key factors in data analysis is determining how values are spread out within each of the different features. This will give you a deeper understanding of how the data is represented and how it might need to change.
2 hours to complete
9 videos (Total 54 min), 2 readings, 1 quiz
5 hours to complete
Use Visualizations to Analyze Data
In this module, you'll look at your data from a visual perspective in order to reveal insights that raw numbers alone may not provide.
5 hours to complete
8 videos (Total 38 min), 7 readings, 2 quizzes
7 hours to complete
Preprocess Data
Your analysis efforts will most likely prompt you to transform your data further, especially in preparation for machine learning. In this topic, you'll do just that.
7 hours to complete
9 videos (Total 51 min), 11 readings, 2 quizzes
About the CertNexus Certified Data Science Practitioner Professional Certificate
The field of Data Science has topped the Linked In Emerging Jobs list for the last 3 years with a projected growth of 28% annually and the World Economic Forum lists Data Analytics and Scientists as the top emerging job for 2022.
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