User Pilot

JULY 28, 2024

What does a data analyst do? A data analyst collects, cleans, and interprets data to answer questions or solve problems. They work in many different industries, from business and finance to healthcare and government. Work with big data technologies (Hadoop, Spark) to process and analyze massive volumes of data.

Data 52

Data Machine Learning Artificial Intelligence Data Analysis 52

User Pilot

JULY 14, 2024

They act as translators, transforming raw data sets into clear and actionable information that businesses can use to make better decisions. A data analyst collects, cleans, and interprets data to answer questions or solve problems. They work in many different industries, from business and finance to healthcare and government.

Artificial Intelligence 52

Artificial Intelligence Data Machine Learning Data Analysis 52

User Pilot

JULY 25, 2024

What does a data analyst do? A data analyst collects, cleans, and interprets data to answer questions or solve problems. They work in many different industries, from business and finance to healthcare and government. Work with big data technologies (Hadoop, Spark) to process and analyze massive volumes of data.

Artificial Intelligence 52

Artificial Intelligence Data Azure Machine Learning 52

Full Session

DECEMBER 30, 2024

PostHogs ability to host data on your servers offers greater privacy control than VWOs cloud-based model. This setup benefits companies with strict data privacy requirements or those who want more control over their data. Integrations PostHog works well with Kafka, Slack, AWS, Google Cloud, GitHub, Tableau, and Looker.

Payment Methods 52

Payment Methods Payment Solutions Payments SaaS Payments 52

User Pilot

JULY 28, 2024

The specific requirements for this role will vary depending on the company size, industry, and the types of data utilized. Businesses need data scientists to make sense of it all and turn it into actionable insights. Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models.

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52

User Pilot

JULY 14, 2024

Experience with data visualization tools (e.g., A passion for data-driven problem-solving and a strong work ethic. Bonus points : Experience with cloud platforms (AWS, Azure, GCP). Experience with big data technologies (Hadoop, Spark). finance, healthcare) or lead and mentor junior data scientists.

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52

User Pilot

JUNE 27, 2024

Start by identifying a sector or an industry, such as retail, SaaS , or healthcare, in which you want to specialize. Data analysis – From user feedback and product metrics to market trends, product specialists have to make sense of different types of data. AWS Certified Solutions Architect for tech products).

Leadership 52

Leadership Market Research Healthcare Trends 52