article thumbnail

Top 5 Reasons You Should Become a Data Analyst

Smart Data Collective

As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills. Data visualization capability. Data Mining skills. Data wrangling ability. Machine learning knowledge.

article thumbnail

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. b) If You’re Already In The Workforce. BI developer.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Manage your Data Science Project: An Ultimate Guide

Marutitech

The primary responsibility of a data science manager is to ensure that the team demonstrates the impact of their actions and that the entire team is working towards the same goals defined by the requirements of the stakeholders. 2. Manage people. Data Understanding. Modeling data . Interpreting data.

article thumbnail

Top 14 Must-Read Data Science Books You Need On Your Desk

Data Pine

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. A must for any budding data scientist’s home library. An inspiring addition to our rundown of data science books.

article thumbnail

Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

Data Pine

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. Your choice of method should depend on the type of data you’ve collected, your team’s skills, and your resources.

article thumbnail

What is Data Pipeline? A Detailed Explanation

Smart Data Collective

The final point to which the data has to be eventually transferred is a destination. The destination is decided by the use case of the data pipeline. It can be used to run analytical tools and power data visualization as well. Otherwise, it can also be moved to a storage centre like a data warehouse or lake.

article thumbnail

A Few Proven Suggestions for Handling Large Data Sets

Smart Data Collective

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. You can finally understand what you’re looking at and what the data is saying. It doesn’t matter if you use graphs or charts, you need to get better at data visualization.