Foundation Course in Data Science/Analytics

About the Course:

This course provides an introduction to the field of data science, covering fundamental concepts, techniques, and tools used for extracting insights and knowledge from data. Topics include data analysis, statistical methods,  data visualization, and practical applications of data science.

C Programming:

Learning C programming provides a strong foundation in programming principles. C programming is a versatile and efficient programming language renowned for its simplicity. C is known as the foundation language to learn coding.

Python Programming:

Python is a versatile programming language widely used in data science for its simplicity, readability, and extensive ecosystem of libraries and tools. With Python, data scientists can perform tasks such as data cleaning, manipulation, analysis, visualization, and machine learning. Popular libraries like NumPy, pandas, Matplotlib, and scikit-learn provide powerful functionalities for working with data efficiently. Python’s flexibility and ease of use make it an ideal choice for data science projects, enabling practitioners to explore data, build models, and derive insights effectively.

MS Excel:

Excel is a powerful tool for data management, offering a range of features and functionalities to organize, analyze, and manipulate data effectively. With Excel, users can input, store, and organize large volumes of data in spreadsheet format, making it accessible and easy to work with. Excel provides tools for data cleaning, sorting, filtering, and summarizing, allowing users to prepare data for analysis quickly. Additionally, Excel’s built-in functions and formulas enable users to perform calculations, create summaries, and generate reports based on their data. With features such as pivot tables, charts, and graphs, Excel facilitates visual analysis and presentation of data insights. Overall, Excel is a versatile tool for managing data efficiently and is widely used in various industries for tasks such as budgeting, financial analysis, inventory management, and more.

SQL:

SQL (Structured Query Language) is a programming language used to manage and manipulate data in relational databases. It enables users to perform tasks such as querying data, inserting new records, updating existing data, and deleting records, making it essential for effective data management.

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