Dataconomy

MARCH 24, 2023

To pursue a career path in BI, a strong background in data analysis and programming is essential. A degree in computer science, mathematics, statistics, or a related field is often preferred. They may also be involved in thought leadership and business development.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

MARCH 3, 2025

Here’s a roadmap to guide you Educational Foundation A bachelor’s degree in a quantitative field, such as computer science, statistics, mathematics, or business, is typically required. Gain proficiency in data visualization tools like Tableau, Power BI, or Looker.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

JULY 25, 2023

Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. in fields like Computer Science, Statistics, or related disciplines. On the other hand, Data Engineers often have a background in Computer Science, Software Engineering, or a related field, but a Bachelor’s degree may suffice in some cases.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 7, 2025

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. Theyre looking for people who know all related skills, and have studied computer science and software engineering.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

APRIL 18, 2023

Data Visualization Tools: Tools such as Tableau, Power BI, and QlikView are used to create visualizations that help data analysts communicate their findings effectively to stakeholders. Certainly, one needs a solid background in mathematics, statistics, and computer science to succeed in this sector.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Computer Science 52

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools and techniques unique to business analysts are pivot tables, financial modeling in Excel, Power BI Dashboards for forecasting, and Tableau for similar purposes.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

JULY 10, 2024

Key Features: Challenging problem sets to build coding and algorithm skills.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep 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. This interdisciplinary approach allows you to collaborate with professionals from diverse backgrounds and industries.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 19, 2025

Data Science is a broad, multidisciplinary field that encompasses mathematics, computer science, and statistics to collect, manage, and analyze large-scale data. Tableau and Power BI : Visualisation tools that create interactive dashboards and reports. SQL : A database language to fetch and analyse data.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

Recommended Educational Background Aspiring Azure Data Scientists typically benefit from a solid educational background in Data Science, computer science, mathematics, or engineering. A bachelor’s degree in one of these areas provides a comprehensive understanding of the theoretical concepts that underpin Data Science.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

APRIL 2, 2024

Data science is the process of extracting the valuable minerals – the insights – that can transform your business. It’s a blend of statistics, computer science, and domain knowledge used to extract knowledge and create solutions from data. Data science for business leaders isn’t about becoming a coding pro.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

MARCH 7, 2025

Automation, ethical AI, and quantum computing will shape Data Science by 2025. What Is Data Science? At its core, Data Science is an interdisciplinary field that combines mathematics, statistics, computer science, and domain expertise to extract actionable insights from structured and unstructured data.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52