- Level Foundation
- المدة
- الطبع بواسطة IBM
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Offered by
عن
Prepare for a career in the high-growth field of data science. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months. No prior knowledge of computer science or programming languages is required. Data science involves gathering, cleaning, organizing, and analyzing data with the goal of extracting helpful insights and predicting expected outcomes. The demand for skilled data scientists who can use data to tell compelling stories to inform business decisions has never been greater. You’ll learn in-demand skills used by professional data scientists including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You’ll also work with the latest languages, tools,and libraries including Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more. Upon completing the full program, you will have built a portfolio of data science projects to provide you with the confidence to excel in your interviews. You will also receive access to join IBM’s Talent Network where you’ll see job opportunities as soon as they are posted, recommendations matched to your skills and interests, and tips and tricks to help you stand apart from the crowd. This program is ACE® recommended—when you complete, you can earn up to 12 college credits.Auto Summary
Embark on a career in data science with IBM Data Science, offered by Coursera. This foundational course, ideal for beginners, requires no prior programming knowledge. Over approximately 5 months, you'll master essential skills like data visualization, statistical analysis, and machine learning using tools such as Python, SQL, and Jupyter notebooks. Gain practical experience through projects and join IBM’s Talent Network for exclusive job opportunities. Earn up to 12 college credits upon completion. Start your journey with the Starter subscription and gain a competitive edge in the data science job market.

Rav Ahuja

Alex Aklson

Aije Egwaikhide

Svetlana Levitan

Romeo Kienzler

Polong Lin

Joseph Santarcangelo

Azim Hirjani

Hima Vasudevan

Saishruthi Swaminathan

Dr. Pooja

SAEED AGHABOZORGI

Yan Luo

Abhishek Gagneja

IBM Skills Network Team