The 2022 Business Intelligence & Data Science Super Bundle

Power BI allows the everyday Excel user to become a Business Intelligence Analyst. This hands-on course will prepare you to start your data analytics career and will also prepare you to successfully implement Power BI in your organization. Create stunning reports and dashboards, poignant data visuals, and design highly insightful DAX measures with Power BI. With 247 lectures, you'll learn how to extract knowledge from data so you can analyze and visualize complex business problems and requirements with ease.

• Access 247 lectures & 31.66 hours of content 24/7
• Build professional-quality Business Intelligence Reports from the ground up
• Blend & transform raw data into beautiful Interactive Dashboards
• Design & implement the same BI tools used by professional analysts and data scientists
• Understand the Business Intelligence workflow from end-to-end

This course was created to bring you to an intermediate level of Power BI expertise. Power BI is Microsoft’s play in the growing Business Intelligence reporting space, and they have created an incredible tool worthy of your attention. If your reporting requirements are more serious, that is your work with larger volumes of data, your data updates frequently, you create external-facing reports/dashboards, and need to share/publish your data online or via company intranets then Power BI may be your best option for building robust MI.

• Access 41 lectures & 3.7 hours of content 24/7
• Get familiar with the interface & views in Power BI
• Connect to data, using Power Query & building tables
• Understand relationships, measures & calculations
• Create outputs with some of the key charts in Power BI.
• Learn how to publish & share your work

This course will go much deeper as we teach you fully-fledged Business Intelligence analyst skills by covering more advanced topics in Power BI. Your ability to prepare data, carry out analysis and visualize it will significantly improve, and you will be able to add a great deal more value to your company.

• Access 25 lectures & 3.65 hours of content 24/7
• Clean data in query editor
• Learn about Power BI data types & formatting
• Transform your data with custom columns
• Duplicate & merge queries
• Dive deeper into DAX
• Visualize & process your data

Throughout this course, you will prepare your machine to make it ready for a prediction test, just like how you prepare for your Mathematics test in school or college. It will train you by solving the most possible number of similar mathematical problems. You will be then given a new set of problems to solve. Later, your professor will evaluate the answers. Then, a mark will be given on the basis of the correct answers. We call this mark our accuracy. The life of a machine learning engineer and a data scientist is dedicated to making this accuracy as good as possible through different techniques and evaluation measures.

• Access 89 lectures & 10.38 hours of content 24/7
• Learn about machine learning basics: concepts, definitions, types, classifications, & applications
• Be familiar with the basics of Python, NumPy, Matplotlib, & Pandas
• Work with CSV data files, dataset summaries & visualization
• Learn algorithm evaluation techniques & metrics

Data structures are among the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding data structures. Every data structure presented will be accompanied by some working source code (in Java) to solidify your understanding of that particular data structure. You'll work on various coding exercises and multiple-choice questions to ensure that you get some hands-on experience.

• Access 48 lectures & 8.28 hours of content 24/7
• Get mature understanding of data structures
• Understand algorithms associated with data structures
• Create efficient algorithms & good software design
• Work with singly & doubly linked lists, queues, and stacks

The most important step to landing a job is being prepared. You’ll feel more in control and confident. In this course, you will learn how to prepare as a data scientist. With 19 lectures, this course will cover the different data science titles & roles, resume and cover letter writing, mock interview questions, and more. By the end of this course, you will have learned how to land a job as a data scientist.

• Access 19 lectures & 4.81 hours of content 24/7
• Know the different data science titles & roles
• Learn resume & cover letter writing tips to help you sell yourself more effectively
• Discover sites that help in developing effective resumes & cover letters
• Practice with mock interview questions about Python, R, & machine learning
• Learn about Python coding challenges
• Know how to present data science projects
• Explore software that you can use in data analysis