Top 10 Recession-Proof Python Courses Offered by IBM to Enroll in 2023 – Analytics Insight

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These Python courses offered by IBM will surely help you get in the employers’ good books

Python is in high demand right now. Almost all critical applications, web designs, and professionals learn Python to ensure that they keep an edge over their competitors. Anyone looking to switch careers from a non-tech background should focus on learning Python first as it will help them catch the attention of employers. Professionals working in various streams like data science, business analytics, artificial intelligence, and machine learning, to name a few seek cutting-edge Python courses that will enable them to relearn and upskill themselves according to industry demands. Furthermore, the demand for Python programmers is also on the rise as new applications emerge that make disruptive technologies a part of our lives. To meet these demands, several tech companies have started offering Python courses to help aspirants enter their dream tech jobs. IBM is one of those companies that heavily invests in offering avant-garde courses to aspirants. The company also partners with several online education providers to provide courses trained by industry experts and professionals. In this article, we have listed the top Python courses offered by IBM that you should definitely enroll in 2023.

Statistics for Data Science with Python

This Statistics for Data Science course is designed to introduce students to the basic principles of statistical methods and procedures used for data analysis. After completing this course, they will have practical knowledge of crucial topics in statistics including  – data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis.

Python Project for Data Engineering

This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Techies who are data engineers or who are aspiring to be, will learn how to extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis.

Data Science Fundamentals with Python and SQL Specialization

The specialization consists of 5 self-paced online courses that will provide participants with the foundational skills required for data science, including open-source tools and libraries, Python, statistical analysis, SQL, and relational databases. They’ll learn these data science prerequisites through hands-on practice using real data science tools and real-world data sets.

Python for Data Science, AI and Development

This introduction to Python course will take students from zero to programming experts in Python in a matter of hours, with no prior programming experience. The participants will learn about Python basics and the different data types. They will be able to familiarize themselves with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching.

Data Analysis with Python

This course will take you from the basics of data analysis with Python to building and evaluating data models. The participants will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. Then they will be taught to predict future trends from data by developing linear, multiple, and polynomial regression models and pipelines and learn how to evaluate them. 

Databases and SQL for Data Science with Python

Working knowledge of SQL (or Structured Query Language) is a …….

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