Neil Patel

JANUARY 25, 2021

Everyone has questions when it comes to choosing data analysis software. Why are there so many data analytics tools? You have to arrange your data, explain it, present it properly, and then derive a conclusion from it. Luckily, data analysis software can seriously simplify data analysis—provided you choose the right one.

Data Analysis 128

Data Analysis Software Data Scale 128

Neil Patel

SEPTEMBER 28, 2020

They will need to consider aspects of your business such as: Customer profiles – Your customers will have data points in common, such as demographic information, which can then be used to inform PPC targeting, for instance. Marketing channels – Each marketing channel has its own set of data to be analyzed.

Technical Review 134

Technical Review Software Review Artificial Intelligence Machine Learning 134

User Pilot

JULY 25, 2024

To excel, leverage resources like books (e.g., “Python for Data Analysis”), webinars (Data Science Salon, BrightTALK), blogs (Data Science Central, KD Nuggets), podcasts (Lex Fridman Podcast, Data Skeptic), and certifications (Senior Data Scientist (SDS), Microsoft Certified: Azure Data Scientist Associate, etc.).

Data 52

Data Technical Review Artificial Intelligence Machine Learning 52

User Pilot

JULY 21, 2024

This data can come from many sources, such as customer transactions, social media, and sensors. But just having a lot of data isn’t enough. Businesses need data scientists to make sense of it all and turn it into actionable insights. Check their developer portals or social media for upcoming events.

Technical Review 52

Technical Review Data Artificial Intelligence Machine Learning 52

User Pilot

JULY 28, 2024

This data can come from many sources, such as customer transactions, social media, and sensors. But just having a lot of data isn’t enough. Businesses need data scientists to make sense of it all and turn it into actionable insights. Experience with data visualization tools (e.g., Tableau, Power BI).

Data 52

Data Technical Review Artificial Intelligence Machine Learning 52

User Pilot

JULY 14, 2024

Data scientists are in high demand because more and more organizations are collecting massive amounts of data. This data can come from many sources, such as customer transactions, social media, and sensors. But just having a lot of data isn’t enough. What does a data scientist do?

Data 52

Data Technical Review Artificial Intelligence Machine Learning 52