During my internship at Trainity, I had the opportunity to apply my analytical skills to real-world data sets.I actively participated in projects during the internship which included the Following:Data Collection: Gathering data from various sources, which may include databases, spreadsheets, and external Sources.Data Cleaning: Pre-processing and cleaning the data to ensure accuracy and reliability. This may involve handling missing values, outliers, and formatting the… Show more During my internship at Trainity, I had the opportunity to apply my analytical skills to real-world data sets.I actively participated in projects during the internship which included the Following:Data Collection: Gathering data from various sources, which may include databases, spreadsheets, and external Sources.Data Cleaning: Pre-processing and cleaning the data to ensure accuracy and reliability. This may involve handling missing values, outliers, and formatting the data.Data Analysis: Applying statistical and analytical techniques to interpret data and discover trends or patterns. This may involve using tools like Excel, Python, SQL, or Power BI.Data Visualization: Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively.Report Generation: Preparing reports and presentations summarizing the results of data analyses, along with actionable insights for decision-makers.Tools and Technologies: Learning and using the data analysis tools and technologies such as Excel, SQL, Power BI, Python, and google colab. Show less