Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

APRIL 3, 2025

Objective Evaluation: Allows for the assessment of performance, the effectiveness of interventions, or the testing of hypotheses. Key Processes and Techniques in Data Analysis Data Collection: Gathering raw data from various sources (databases, APIs, surveys, sensors, etc.).

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

AUGUST 9, 2024

Variety It encompasses the different types of data, including structured data (like databases), semi-structured data (like XML), and unstructured formats (such as text, images, and videos). Understanding the differences between SQL and NoSQL databases is crucial for students. js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 28, 2023

SQL: Because it enables Data Analysts to pull the necessary data from diverse data sources, Structured Query Language (SQL) is crucial for accessing and manipulating databases. You can enormously take up SQL Projects for Data Analyst portfolio showcasing your skills.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 52

Pickl AI

APRIL 26, 2024

SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. The SELECT statement retrieves data from a database, while SELECT DISTINCT eliminates duplicate rows from the result set. Explain the difference between SQL’s SELECT and SELECT DISTINCT statements.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52