Nowadays, analytics is being considered as the core of every business. By gathering an immense amount of data from various business channels, we can get an insight into whether our marketing initiatives are indeed successful. The question is how can we turn these raw data into a form that can be understood by marketing professionals?
A few years back, database management has created a gap in the business and marketing world because professionals in this field are often not equipped with coding skills to manage database systems. Today, we are privileged to have access to tools that allow us to make our tasks easier.
StrataScratch is a platform curated to help business and marketing students or professionals make analytics easier even without advanced technical knowledge in programming. The platform is also equipped with features, such as graphical functions, easy-to-use SQL editor, and numerous datasets which you can use as practice or reference for your projects.
We have prepared a number of tutorials and exercises which you can use as a learning tool or a reference for projects. These contents are designed for both beginners and advanced learners. You can visit our website to gain access to all the materials needed to get you started.
Practice Problems for Business and Marketing Analytics
The best way to learn database coding is to actually apply what you have learned from the tutorials. To challenge your skills, we have prepared practice problems and exercises which you can try using our SQL editor. These problems are categorized as basic, intermediate, and advanced so that your learning experience becomes progressive.
The problems and exercises challenge your basic skills in SQL and Python which includes applying basic syntax to access, transfer, and manipulate data. Some questions will also require you to visualize the result for you to gain insights and be able to find an answer to the problem.
Python and SQL Tutorials
We have added more tutorials to enhance your learning experience in Python and SQL. For example, we have included topics that cover SQL techniques for business analytics, data cleaning using Pandas, lambda functions and list comprehensions in Python, merging dataframes for data analysis, NumPy, and many others.
Access to Exercises Written in Python and SQL
A lot of the exercises on our page are written in Python and SQL. For convenience, the exercises can be accessed through Google CoLab links and run using Jupyter notebooks. You don’t need to install any software since the code will run online. You may also have the option to download the files in ipynb format so you can open it offline using any compatible software installed in your computer.
Solve Case Studies with Any Programming Tools
We have included case studies about business, medical appointments, and machine learning for those who are up for more challenge. These case studies are designed with open-ended questions to test your analysis and judgment. Moreover, you are given the choice to use any of your favorite tools, such as Python, R, and Tableau.
How to Access our Guides, Problem Sets, and Case Studies
All our guides, practice problems, and case studies can be accessed under the Education tab of our website. Choose a category which you want to access to. This will lead you to our page with a list of available tutorials and exercises. Clicking a guide or exercise will open a new page. The guide contains the step by step tutorials about your chosen topic, such as how to use Strata Scratch and the basic tutorial on SQL. When you click on the exercises, a new page will open containing the questions linked to our Github and the solutions linked to our Google CoLab.
We hope you will find all of these materials and practice sets useful to enhance your data analytics skills. Enjoy!
If you’re a professional in the workforce, you’ve probably seen a cultural shift towards making data-driven decisions. If you’re a student, you’ve probably seen new classes teaching business and marketing majors new data analytical tools and coding languages. You don’t need us to convince you that new skills and capabilities are needed to stay competitive in the workforce, especially in business and marketing functions.
But which skills or capability do I need to learn to stay competitive? It’s been said that engineers have the technical skills necessary to analyze the data but don’t know how to ask the right questions. Business professionals ask the right questions but don’t know how to analyze the vast amount of data. The ideal case is to obviously find a person that can ask the right business questions and analyze the data.
So, again, which skills or capabilities do I need to learn? Almost all data these days are stored in a database. So you can learn any tool that can take data out of the database and analyze it. But most common tool/language is SQL but there are also other tools out there like python, R, and Tableau. Once the data is out of the database, you’ll need to put on your business hat to analyze the dataset in a meaningful way.
We have some guides to help you along your journey. You should get started right away!
Here are the some reasons why understanding databases and having data analytical skills are useful in business analytics:
Easily Access and Manipulate Data
As more and more data come on your way, there’s no better option than having a database system. Here, you can just pull out the specific information you need from a vast ocean of data. Simply type a query to get what you need – sounds more convenient, right? An SQL database keeps your data organized and speed up data processing. Having a database management system definitely makes your life easier!
Analyze Data with Only A Few Commands
There’s no easier way to analyze trends than visualizing them with colorful details! By adding the parameters you need and setting up the graphics command, your data instantly comes to life. In business, understanding trends is very important. You will be updated with new insights and come up with wiser decisions for your business operations.
Help You Support Prototyping, Data Management, and Reporting
With the advancement of technology, a lot of systems being used in businesses today are already automated. A few basic skills in SQL will help you understand the data and provide you the information you want to extract from the system. This in return makes it easier for you to create analysis and reports, as well as build prototypes for your projects or case studies.
More Opportunities in the Business World
As a business and marketing student or professional, having analytical skills allows you to gather insights from large sets of data. As large organizations continue to flourish, more and more companies use automated database systems to efficiently run business operations. Being able to navigate the vast amount of data will definitely help you answer complex business questions.
So, what’s next?
Learning SQL and other powerful tools/languages does not really require you to be a hardcore software engineer. All you have to know are the basic functionalities on how to select particular rows or columns of data, the basic mathematical operations to manipulate data, and some simple queries to visualize the information you have.
If you want to learn the basics of SQL, just go to our tutorial.
You will find an easy-to-follow guide with all the basics you need to start learning SQL right away. Moreover, Strata Scratch provides a user-friendly platform you can use to practice writing simple queries. The platform also provides sample datasets which you can use in designing your prototype or answering your case studies.
Happy analyzing! And if you have any questions, email us at email@example.com.
In the business world, data is everything. We use data to help us understand the market and our customer. Successful businesses are data-driven and integrate their data-driven decision making into their business processes. We’ve seen the continuous growth of the tech industry – think Facebook and Google – in part due to their data-driven approach to building and growing products.
Data itself has been democratized. Companies collect vast amounts of internal and external data. Data engineering and science teams are formed to help turn data into insights, and it’s becoming apparent that if you want to stay competitive in your career, you will need to develop enough technical capabilities to analyze large amounts of data using sophisticated and powerful tools beyond Excel.
How does a non-technical business and marketing professional build powerful analytical skills? Most books and tools are written by engineers for engineers. We, at Strata Scratch, understand this problem. It’s impossible to find resources tailored to the non-technical professionals – there are no tools easy enough for novices; there are no guides and exercises written for business and marketing professionals that also leverage these powerful tools.
We hope to help the new business and marketing professionals. We have a tool easy enough for non-technical novices to use, with SQL and Python guides and exercises tailored to the business and marketing professional. We’ll keep posting here with useful advice for the data-driven business and marketing professionals. We hope you follow along with us.