IBM Data Analyst Professional Certificate. Prepare for a career as a data analyst. Gain the in-demand skills and hands-on experience to get job-ready in as little as 4 months. No prior experience required.
Explore beginner Data Analysis courses designed to build a strong foundation. Learn essential skills, gain knowledge, and start your educational journey today.
Skills you'll gain: Data Analysis, Business Analysis, Probability & Statistics, Statistical Analysis, Leadership and Management, Strategy and Operations, Basic Descriptive Statistics, Exploratory Data Analysis, Financial Analysis, Forecasting, Data Model, Mathematics, Performance Management, Strategy, Accounting, Customer Analysis, Human ...
Kickstart your Data Analysis career with IBM's course on Coursera. Learn the role, tools, and skills of a Data Analyst, explore Big Data platforms, and complete a real-world project. No prior experience needed.
When you take online courses to be a data analyst, you have the opportunity to learn how to use statistical techniques to acquire data from key sources. You might also uncover key data analysis concepts in Python programming, data science, pivot tables, data visualization, and more.
The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn.
In this article, you'll learn more about the data analysis process, different types of data analysis, and recommended courses to help you get started in this exciting field.
Transform your career with Coursera's Data Analysis courses. Enroll for free, earn a certificate, and build job-ready skills on your schedule. Join today!
The Google Data Analytics Certificate features practical training and hands-on activities to help you leverage AI for data analytics. Learn how to use AI to help with ideas for data visualization, data cleaning, and data structuring directly from Google experts.
Data science courses cover a wide range of topics essential for understanding and applying data analysis techniques. These include fundamental concepts such as statistics, probability, and data visualization. Learners will explore topics like machine learning, data mining, and data wrangling.