Data Scientist course

To enroll in the Data Scientist course, you must have:

• basic knowledge of Excel (creating documents, basic editing and data entry),
• basic ability to read charts and the data they contain,
• willingness to deepen mathematical skills, logical thinking and drawing conclusions based on data,
• willingness to develop towards Data Science.

Yes, after completing all modules, passing the exam or defending the final project, each Coders Lab student receives a diploma of completion of the IT course. Also, after successfully completing the Data Scientist course, you will receive a Certificate. All you need to do is pass the final exam after the entire course. For your future employer, it will be a clear confirmation of your skills!

Data analyst - a profession that will be within your reach after completing the Data Analyst course - in short, organizes, cleans and analyzes data to find relationships between them and draw conclusions.

A data analyst in a company can deal with many things, but they all have one goal. They are intended to help you make accurate and well-thought-out decisions based on data. Therefore, a data analyst in a company can, for example:

• analyze customer behavior (including in an online store),
• analysis and understanding of trends to be able to prepare more effective sales strategies,
• track the results of business decisions made, analyze them and draw conclusions for the future,
• diagnose opportunities and threats for specific actions.

A data scientist can do exactly what a data analyst does, but he or she is more concerned with looking into the future. As a Data Scientist, he uses knowledge in the field of Machine Learning, thanks to which he can implement more advanced projects. You can acquire this knowledge by choosing the Data Scientist course (Premium Package of the Data Analyst course).

Machine learning has enormous potential that has taken over the world of technology, innovation and business. The goal of machine learning is to create algorithms that will teach machines to behave in a way that is as close as possible to the specificity of human thinking.

More and more companies are investing in the development of ML-based solutions, building demand for qualified employees who can use machine learning to solve business problems.

Knowledge of the basics of Machine Learning and the willingness to develop in this direction will be a big advantage during the recruitment processes for the position of Data Analyst. In turn, advanced knowledge of machine learning models opens the door to development as a Data Scientist.

The Coders Lab Education Department has developed a comprehensive path for developing Data Scientist competencies.

For you, this means, above all, a well-thought-out course program that will help you step by step to become a junior data scientist. The whole thing is based on the most important points of the data analysis process, i.e. defining the problem, collecting data, cleaning and processing data, data exploration and defining new variables, in-depth data analysis, presentation of analysis results and making business decisions based on data.

During the classes, you will gain knowledge and skills related to, among others: With:

• basics of statistics,
• basics of analysis,
• programming,
• data visualization and storytelling,
• machine learning.

During the course, you work on the most important libraries, tools and programs necessary in data analysis. Their knowledge is required in the vast majority of job advertisements for data analysts and data scientists.

The Data Scientist course teaches:

• use the data analysis chain in practice,
• data analysis by working with extensive databases in Excel,
• automate report creation using Python,
• obtain data from internal and external websites or websites,
• obtain data from database systems (ERP, accounting, etc.),
• create effective and extensive queries in SQL,
• additional methods of formatting the output data set,
• principles of operation with relational databases,
• data storytelling and creating data-based stories,
• support libraries and data visualization tools,
• develop complete dashboards for analysis,
• use machine learning to make business decisions.

If you want to know more about this, check out the detailed Data Scientist course program.

The Python programming language has a simple syntax. It has also been developing rapidly for years, which is why it is very popular among both programmers and data analysis workers. However, the most important feature is its versatility, thanks to which you can automate your daily work.

This is particularly important when working with data, because it simplifies work on them and speeds up the creation of analyzes and reports. Thanks to knowledge of Python, the student is able to:

• automate the creation of reports,
• obtain data from external websites and websites,
• obtain data from database systems,
• automate data analysis activities.

SQL is the third module of the Data Analyst and Data Scientist course. Thanks to the knowledge of this query language, you can build appropriate queries and find information in various databases. This way you ensure the credibility and completeness of your analyses.

You can use the SQL query language in virtually every relational database. In their daily work:

• you will start using transactions to safely handle data in the database,
• you will optimize the speed of database operation thanks to the use of indexes,
• you will expand and consolidate your knowledge about database modeling.

Using SQL is also a way to easily create aggregates for many sets and extract the necessary elements from them.

A Data Scientist works according to the Data Science process, all in order to draw accurate conclusions and make the right decisions in his area of ​​activity. Data Scientist, unlike Data Analyst, uses a number of even more advanced tools and methods, e.g. predictive models that allow to predict the future. During the Data Scientist course, you will learn to anticipate problems and set new business questions, design algorithms and models that automate data or Big Data analysis using the most modern methods.

During the Data Scientist course, you will learn the basics of statistics, data analysis, programming, data visualization and machine learning. All modules successively expand your knowledge and skills. Importantly, you learn it under the supervision of practitioners and specialists who work with large data sets on a daily basis, and the world of Big Data holds no secrets from them.

According to the Data Scientist course program, you will learn to go through the entire Data Science analysis process. It consists of the following stages:

• defining problems,
• collecting data,
• data cleaning and processing,
• data mining and defining new variables,
• presentations of analysis results,
• application of machine learning models.