Taught by the industry experts. You can achieve your career goals with our comprehensive Data Analytics Bootcamp
Start date: Fall 2021
The program will be 100% online
Data Analytics Program is designed for Working Professionals. In addition to learning from the industry experts, you will also get
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages.
Python is also a great beginner’s programming language, and more versatile than R, which is more oriented to data sciences. It covers multiple tasks, including web development, machine learning, and data science, among other tasks. Its outstanding reputation comes from how concise and easy to read it is.
With an access to vast number of R packages and high performance R has gained high popularity among statisticians. In the field of statistical analysis R allows in analysis and cleaning of data which can be very useful for companies for making right decisions. With R performing equally good in visualizations, it makes it easy to create different plots and determine various trends in data.
Machine learners also use R in implementation of their various algorithms. R is also useful in predictive analysis and building various predictive models including linear regression, decision trees or classification models.
With the transformation of world and increasing competition, companies need to make wise decisions that would be beneficial for them. Here the field of data science comes into play. One of the most trending fields that continue to grow, makes use of various scientific methods and techniques to analyze the data and find different hidden patterns in the data. Here R programming is a powerful language that allows data scientist to perform their tasks efficiently with high performance for example performing statistical analysis, creating visualizations and building predictive models.
The Tableau platform is a data analytics program used for business management and intelligence. Compared to other data analytics programs that require a programming background, Tableau provides a user-friendly interface that anyone can use.
Tableau can connect and prepare your data, no matter the size or file format. Furthermore, the program translates data files, whether cloud-based, on-premises, or flat. Tableau features hybrid connectivity, which covers live data analysis and in-memory data analysis from encrypted sources.
Tableau Prep, a product of the Tableau suite, offers a smooth visual interpretation of data.
Another boon of the Tableau suite is its ability to understand data more efficiently. Tableau offers a seamless environment that is more interactive than the normal stop-and-go process of data reporting.
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses.
SQL, or Structured Query Language, is a programming language intended for relational data management. Relational data management pertains to databases that are related to each other. Relational databases often present themselves in tables. Relational database management is how you create, administer, and update relational databases. If you wish to be data-literate, SQL is the language to learn.
Excel is a great tool for analyzing data. It’s especially handy for making data analysis available to the average person at your organization. Other than great flexibility, superior number crunching powers and easy access MS Excel also provide its users many benefits including;
Git is a DevOps tool used for source code management. It is a free and open-source version control system used to handle small to very large projects efficiently. Git tracks changes in source code, enabling multiple developers and testers to work together on non-linear development.
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