Pickl AI

MARCH 3, 2025

Business Requirements Analysis and Translation Working with business users to understand their data needs and translate them into technical specifications. Data Quality Assurance Implementing data quality checks and processes to ensure data accuracy and reliability. What Are Key Skills for A BI Analyst?

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Section 3: The technical section for the project where Python and pgAdmin4 will be used. Section 4: Reporting data for the project insights. Figure 6: Project’s Dashboard 3.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

ODSC - Open Data Science

APRIL 26, 2023

Though scripted languages such as R and Python are at the top of the list of required skills for a data analyst, Excel is still one of the most important tools to be used. 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.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

JULY 12, 2023

The data professionals deploy different techniques and operations to derive valuable information from the raw and unstructured data. The objective is to enhance the data quality and prepare the data sets for the analysis. What is Data Manipulation?

Data Analysis 52

Data Analysis Data Analysis Data Science Clean Data 52

Pickl AI

FEBRUARY 6, 2025

Overcoming challenges like data quality and bias improves accuracy, helping businesses and researchers make data-driven choices with confidence. Introduction Data Analysis and interpretation are key steps in understanding and making sense of data. Challenges like poor data quality and bias can impact accuracy.

Data Analysis 52

Data Analysis Data Analysis Data Quality Power BI 52

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance. They may also be involved in project management and training.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance. They may also be involved in project management and training.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

MAY 7, 2024

By leveraging Tableau’s capabilities, Data Analysts can become true data storytellers, driving informed decision-making and propelling businesses forward. If you are interested in learning more about Tableau for Data Analyst or Python for Data Science, enroll for the Data Science and Data Analytics Course on Pickl.AI.

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

Pickl AI

APRIL 26, 2024

Describe a situation where you had to think creatively to solve a data-related challenge. I encountered a data quality issue where inconsistent data formats affected the analysis. Data Governance and Ethics Questions What is data governance, and why is it important? 10% group discount available.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

AUGUST 9, 2024

Apache Spark A fast, in-memory data processing engine that provides support for various programming languages, including Python, Java, and Scala. Data Cleaning and Transformation Techniques for preprocessing data to ensure quality and consistency, including handling missing values, outliers, and data type conversions.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JUNE 4, 2024

What Are The Challenges of Implementing Data Science in Healthcare? Challenges include data privacy and security concerns, integrating data from disparate sources, ensuring data quality, and the need for specialized skills and expertise. What Tools do Healthcare Data Scientists Use?

Data Science 52

Data Science Big Data Analytics Big Data Analytics Predictive Analytics 52

Pickl AI

NOVEMBER 6, 2023

By visualizing data distributions, scatter plots, or heatmaps, data scientists can quickly identify outliers, clusters, or trends that might go unnoticed in raw data. This aids in detecting anomalies, understanding data quality issues, and improving data cleaning processes.

Data Visualization 52

Data Visualization Data Science Data Scientist Data Analysis 52