U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JANUARY 18, 2024

Skills along the lines of Data Mining, Data Warehousing, Math and statistics, and Data Visualization tools that enable storytelling. A business analyst forms the bridge between the business and the offshore team of data analysts and data scientists.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

SEPTEMBER 25, 2023

In order to properly execute Data Analysis and come up with the optimal solution to a problem, you must have a solid background in mathematics and statistics. You should be able to effectively communicate with the prospective teams as a Data Analyst and present your results to them.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JANUARY 19, 2024

Business intelligence focuses on collecting and analyzing data from multiple sources to identify trends and patterns to make better-informed decisions about your company's future direction. On the other hand, business analytics uses predictive modeling to predict how different variables affect each other.

Business Intelligence 52

Business Intelligence BI Business Analyst Aggregated Data 52

Knowledge Hut

NOVEMBER 15, 2023

Example 7: Individual with experience in statistical analysis and the ability to work on a wide array of data systems. Aiming to use my strong data science skills in a dynamic environment to enhance data collection procedures to positively impact the organization. Example 4: B.S.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Knowledge Hut

JANUARY 24, 2024

Pattern Recognition : Observing recurring trends or patterns within data to extract meaningful information. Tool Proficiency: Utilizing a diverse set of tools and technologies, including R, Tableau, Python, Matlab, Hive, Impala, PySpark, Excel, Hadoop, SQL, and SAS, to manipulate and analyze data efficiently.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52