TRAININGS

Data Science:

Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data. Training in data science typically covers a range of topics including statistics, machine learning, data visualization, data wrangling, and programming languages like Python or R. Data scientists use their skills to analyze data, build predictive models, and inform business decisions.

Database Administration:

Database administration involves the management, maintenance, and optimization of databases. Training in database administration typically covers topics such as database design, data modeling, SQL (Structured Query Language), database security, backup and recovery procedures, and performance tuning. Database administrators ensure databases are running efficiently, securely, and are available when needed.

Power BI:

Power BI is a business analytics tool developed by Microsoft. Training in Power BI typically covers topics such as data visualization, creating interactive dashboards and reports, data modeling, and connecting to various data sources. Power BI allows users to analyze and visualize data to gain insights into business performance and make data-driven decisions.

Quality Assurance Engineer:

Quality assurance (QA) engineers are responsible for ensuring the quality of software products or applications. Training in quality assurance typically covers software testing methodologies, test automation, bug tracking, and quality assurance processes. QA engineers design test cases, execute tests, identify bugs, and work closely with software developers to ensure that products meet quality standards before release.

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PROGRAMS

Data Science:

Unlock the power of data with our 4 months comprehensive Data Science class. Join us to become a proficient Data Scientist, Data Analyst, Business Analyst or Machine Learning Engineer and gain valuable skills for today's data-driven world.
Database Administration:

Master the art of managing databases with our Database Administration class. Gain practical skills and valuable insights to excel in the world of data managment.