february 20
This course equips learners with the skills to work with big data, make data-driven decisions, and develop models that automate processes across various industries.
to buy to buyThe Data Scientist career course covers all aspects of working in the field of data analysis. Participants will learn programming in Python and R, working with databases, machine learning algorithms, data visualisation, statistical analysis and creating predictive models for business decisions.
Individuals looking to start a career in data analysis, machine learning, or artificial intelligence, even without prior programming experience. Individuals seeking a promising career in the rapidly growing field of Data Science and looking to acquire in-demand skills.
Professionals who want to expand their skills and knowledge in data analysis and machine learning.
Those who already work with data and want to deepen their knowledge in machine learning and advanced analytics. Decision-makers and analysts who want to better understand data and make data-driven decisions.
Those working in scientific fields who need to analyze large datasets for research purposes.
Cours data scientist consists of 12 blocks that maximally pump the future specialist and allow you to become confident.
form of education & price
Our vision of Data Scientist learning is not just learning concepts, but also mastering practical tools that will help you bring your ideas to life. We create educational programs where theory and practice become one, where you get not just knowledge, but real skills for successful work in this dynamic field.
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Schedule:02
Period:03
Age:04
Class time:after graduation on course of data scientist you will be able to:
Understanding of key concepts. Knowledge of big data terms and approaches.
Proficiency in Python and R programming languages and their libraries. Ability to write scripts for data analysis and processing.
Ability to collect, clean, process and analyze large data sets (Data Wrangling). Experience working with various data formats (CSV, JSON, SQL and NoSQL databases).
Skills in building and evaluating various machine learning models. Ability to work with Deep Learning algorithms.
Ability to effectively visualize data using tools such as Matplotlib, Seaborn, Plotly, Tableau or Power BI.
Experience building ETL pipelines for data collection and transformation. Understanding of database architecture and data flows.
Skills in working with cloud services such as AWS, Azure, Google Cloud to deploy and manage models.
Participation in projects related to data processing and analysis. Development and implementation of models that solve real business problems.
Develop critical thinking skills to interpret the results of analysis. Ability to draw conclusions and propose solutions based on data.
Preparing for interviews for Data Scientist, Data Analyst, Machine Learning Engineer positions. Availability of a portfolio of projects that can be presented to potential employers.
A TOLS School Certificate of Completion is an important tool that can have a significant impact on your career and professional development. It validates your skills, gives you a competitive advantage, promotes career development, broadens your professional horizons, is recognised in the professional community and contributes to your personal development.
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