Data Science Dojo

MAY 10, 2023

Business Intelligence Analyst Business intelligence analysts are responsible for gathering and analyzing data to drive strategic decision-making. They require strong analytical skills, knowledge of data modeling, and expertise in business intelligence tools.

Data Science 366

Data Science Data Scientist Database Administration Machine Learning 366

Pickl AI

NOVEMBER 18, 2024

Here’s why certifications hold significant value: Validate Skills and Expertise: Certifications confirm your competence in Data Analysis, showcasing your ability to handle data, use analytical tools, and generate insights effectively. Focus on R: Deep dive into data wrangling, visualisation, and statistical analysis using R.

Data Analyst 110

Data Analyst SQL Python AWS 110

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JANUARY 25, 2023

The requirement of SQL in Data Science is to conduct analytical performances on data that are stored in relational databases. While using Big Data Tools, Data Scientists need SQL which helps them in Data Wrangling and preparation. Based on the type of analysis, the SQL Join is performed.

SQL 52

SQL Data Science Database Data Analysis 52

Pickl AI

DECEMBER 4, 2024

Data Wrangling The process of cleaning and preparing raw data for analysis—often referred to as “ data wrangling “—is time-consuming and requires attention to detail. Ensuring data quality is vital for producing reliable results.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 18, 2024

Like with any professional shift, it’s always good practice to take inventory of your existing data science strengths. Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. With that said, each skill may be used in a different manner.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

SEPTEMBER 12, 2024

Data Scientists use various techniques, including Machine Learning , Statistical Modelling, and Data Visualisation, to transform raw data into actionable knowledge. Importance of Data Science Data Science is crucial in decision-making and business intelligence across various industries.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52