Mlearning.ai

MAY 23, 2023

Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 22, 2025

Importance of Programming Languages Programming languages are foundational to computer science and technology, enabling the creation of software that powers modern society. It facilitates innovation, problem-solving, and efficient communication with computers. SQL SQL specialises in querying relational databases efficiently.

Python 52

Python Data Science SQL Cloud Computing 52

IBM Journey to AI blog

JULY 6, 2023

That’s where data science comes in. The term data science was first used in the 1960s when it was interchangeable with the phrase “computer science.” ” “Data science” was first used as an independent discipline in 2001.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JANUARY 13, 2025

Proficiency in programming languages like Python and SQL. Familiarity with SQL for database management. Cloud Computing Skills Familiarize yourself with cloud platforms like AWS , Google Cloud , or Microsoft Azure to manage infrastructure and deploy AI models efficiently.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JANUARY 17, 2023

Furthermore, you should also have the skills to use software packages and programming languages like Python, R and SQL. Also Read: 9 tips to help you get a data science job Learn Programming Languages You need to be proficient in using programming languages if you want to become a Data Scientist.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2023

After completing a Bachelor of Computer Applications (BCA) degree, many graduates find themselves at a crucial crossroads, eager to delve deeper into the world of information technology and computer science. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Dataconomy

MAY 2, 2023

Additionally, expertise in big data technologies, database management systems, cloud computing platforms, problem-solving, critical thinking, and collaboration is necessary. Familiarity with machine learning frameworks, data structures, and algorithms is also essential. How to become a machine learning engineer without a degree?

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

SEPTEMBER 5, 2024

Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. It offers a wide range of cloud services, including: Compute Power: Scalable virtual machines and container services for running applications. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52