The Applied Data Science With Python Specialization is a five-course series on data science concepts offered by the University of Michigan. This specialized course aims to equip learners with the practical applications of data science using Python, including topics like data visualization, text analysis, machine learning, and social network analysis.
In this article, we will explore this course in detail and understand what benefits you will get by joining this course.
What Is Applied Data Science With Python Specialization?
As described previously, Applied Data Science With Python Specialization is a comprehensive learning program that focuses on practical concepts of data science using Python programming language. The structure of this specialization is as follows –
- Introduction to Data Science in Python
- Applied Plotting, Charting & Data Representation in Python
- Applied Machine Learning in Python
- Applied Text Mining in Python
- Applied Social Network Analysis in Python
What will you learn in Applied Data Science with Python Specialization on Coursera?
By the end of this course, you will gain skills in data science using Python and various Python toolkits such as Matplotlib, Pandas, Scikit-learn, NetworkX, and NLTK. Learners who have experience in Python programming can easily understand the concepts in this course.
You will learn how to perform a presumed statistical analysis using data and recognize whether a data visualization is good or bad. Also, you will learn how to use machine learning for enhanced data analysis and analyze the connectivity of a social network.
After completing all the courses in this specialization, you will gain a certificate from the university.
What concepts are taught in Applied Data Science With Python Specialization?
The Applied Data Science With Python Specialization consists of five different courses, and the concepts taught in this course are as follows.
The first course, Introduction to Data Science in Python, explains Python basics for data science, data manipulation with Pandas, and data cleaning and summarization. In addition, you will gain skills in Natural Language Processing and Natural Language Toolkit from this course.
In the second course, Applied Plotting, Charting and Data Representation in Python, you will learn to create a data visualization using the Matplotlib library. This course will teach you how to identify good or bad data visualization and best practices for creating effective charts. You will learn to discern the best functions for respective problems by the end of this course.
Applied Machine Learning In Python is the third course of this specialization that explains various machine learning concepts using Scikit-learn and how to create supervised and unsupervised machine learning models. You will learn the difference between machine learning and descriptive statistics, build & evaluate data clusters, and create features that meet data analysis needs.
The fourth course, Applied Text Mining in Python, describes Natural Language Processing techniques and how to work with text data using NLTK and Scikit-learn.
The fifth course, Applied Social Network Analysis in Python, explains graph theory and network structures and how to use NetworkX for social network analysis.
Who should enroll in Applied Data Science With Python Specialization on Coursera?
The Applied Data Science With Python Specialization is an intermediate-level course, so learners should have experience in basic Python to enroll in this course. Newcomers in data science who know the basics of Python can join this course.
Aspiring data analysts and scientists can join this course to learn practical data science concepts using Python. Additionally, professionals who want to upskill in data science can join this specialized course.
How long does this course take to complete?
The Applied Data Science With Python Specialization will take 4 months to complete if you study 10 hours per week. However, since it is a self-paced course, you can complete it on your own time.
Will you get a job after completing this Specialization?
By only completing Applied Data Science With Python Specialization, you won’t get a job. However, it will increase your chances of getting a job when combined with real-world projects, networking, and additional skills.
After completing this course, you can apply for job roles like data analyst, machine learning engineer, data scientist, and business intelligence analyst.
How much does this course cost?
If you want to join the Applied Data Science With Python Specialization alone, it will cost you $49 per month. But if you join this course with the Coursera Plus subscription plan, it will cost you $59 per month and give you access to 10000+ courses and specializations on Coursera.
Is it worth taking the Applied Data Science With Python Specialization Course on Coursera?
The short answer is, yes, it is worth taking the Applied Data Science With Python Specialization on Coursera if you are looking for a balanced and hands-on learning program on data science using Python.
The benefits of taking this course are that it is offered by a reputed university, covers key data science skills using Python, offers hands-on learning with practical projects, and is affordable compared to a traditional degree at a university.
Therefore, if you are beginning your career in data science and looking for a comprehensive course on data science using Python, you can consider taking this course.
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