Data Science Courses
Choose a course that suits your goals - from the basics to advanced skills in data science.
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Gained skills:
Advanced Data ManipulationAnomaly Detection TechniquesCRUD OperationsCloud ComputingCluster AnalysisCode EfficiencyCurrency Analysis with PythonData Aggregation with pandasData AnalysisData Analysis with ExcelData HandlingData Indexing and Selection in pandasData ManipulationData ModelingData PreprocessingData VisualizationData Visualization TechniquesDatabase ManagementDatabase ModelingDatabase NormalizationExcel AutomationExcel FormulasExcel Power QueryExcel for BeginnersExploratory Data AnalysisHandling OutliersHyperparameter TuningHypothesis TestingIntermediate SQLLinear Regression with PythonLogical ThinkingLogistic RegressionMachine Learning TechniquesMachine Learning with scikit-learnModel Training and EvaluationNatural Language HandlingNatural Language ProcessingNeural NetworksNumPy Advanced TechniquesNumPy BasicsNumPy FunctionsPandas Data ManipulationPower BI FundamentalsPower Pivot HandlingPower QueryProblem-SolvingPython Classification ModelsPython Data ManipulationPython Data StructuresPython FunctionsPython OOPPython ProgrammingPython VisualizationPython Visualization with MatplotlibRegular Expressions (Regex)SQL BasicsSQL Query OptimizationSQL in Python ProjectsSeaborn VisualizationStatistics with PythonTensorFlow BasicsText SummarizationTime Series AnalysisWeb Scraping with Python
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Browse Data Science courses and projects
1 hour
12 chapters
1 hour 8 chapters
3 hours 26 chapters
2 hours 11 chapters
3 hours 18 chapters
1 hour 8 chapters
3 hours 23 chapters
1 hour 7 chapters
1 hour 10 chapters
3 hours 20 chapters
1 hour 7 chapters
6 hours 38 chapters
Level
Type of lesson
Technologies
course
Relational Database and Normalization
1 hour 12 chaptersBeginner
Acquired skills: SQL Query Optimization, Database Normalization
project
Time Series Essentials
1 hour 8 chaptersIntermediate
Acquired skills: Time Series Analysis
course
Ultimate Visualization with Python
3 hours 26 chaptersIntermediate
Acquired skills: Data Visualization, Data Visualization Techniques, Python Visualization, Python Visualization with Matplotlib, Seaborn Visualization
project
Identifying Spam Emails
2 hours 11 chaptersAdvanced
Acquired skills: Anomaly Detection Techniques, Data Preprocessing, Natural Language Processing, Python Programming, Machine Learning Techniques
course
Introduction to TensorFlow
3 hours 18 chaptersAdvanced
1 STUDYING NOW
Acquired skills: TensorFlow Basics, Neural Networks, Python Data Structures, Data Preprocessing
project
Structuring Applications Using OOP Principles
1 hour 8 chaptersIntermediate
Acquired skills: Python Programming, Python OOP
course
Web Scraping with Python
3 hours 23 chaptersIntermediate
Acquired skills: Python Programming, Web Scraping with Python
project
Automating Data Collection from Web Sources
1 hour 7 chaptersIntermediate
Acquired skills: Python Programming, Web Scraping with Python
project
Clustering Media Content
1 hour 10 chaptersIntermediate
Acquired skills: Cluster Analysis, Python Programming
project
Predicting Profitable Euro-Dollar Exchange Signals
3 hours 20 chaptersAdvanced
Acquired skills: Python Programming, Currency Analysis with Python, Data Analysis, Data Visualization
project
Getting into NumPy Basics
1 hour 7 chaptersIntermediate
Acquired skills: NumPy Basics, NumPy Functions
course
Learning Statistics with Python
6 hours 38 chaptersAdvanced
Acquired skills: Statistics with Python
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Error correction
AI assistant
Access to all content with one subscription
Career opportunitiesLearn about the most popular professions, average salaries, and companies actively seeking specialists in this field.
Business Analyst
Data Scientist
Financial Analyst
Big Data Analyst
Data Analyst
$98k
$134k
$170k
Min
Average
Max
Annual salary
(Average in the US)
Hiring companies
*Source: Glassdoor
Chosen by students of top schools
Including 30 out of top-30 U.S. colleges
Data Science Courses: Key Info and Questions
Introduction to Data Science Courses
We have plenty of courses for any aspect of data science, including data visualization(like "Ultimate visualization with Python"), data manipulation with python(like "NumPy in a Nutshell" or "Advanced Techniques in pandas"), sql(like "Introduction to SQL") and machine learning (like "ML Introduction with scikit-learn" or "Introduction to Neural Networks").
Benefits of our Data Science courses
We are providing our clients with comprehensive curriculum, hands-on experience and expert instructors.
Career opportunities after completion of Data Science courses
After completing data science course you potentially can start career at variety of data-driven positions, including data scientist, data analyst, machine learning analyst, business intelligence analyst, data engineer etc.
Data Science Options
We have plenty of courses for any aspect of data science, including data visualization(like "Ultimate visualization with Python"), data manipulation with python(like "NumPy in a Nutshell" or "Advanced Techniques in pandas"), sql(like "Introduction to SQL") and machine learning (like "ML Introduction with scikit-learn" or "Introduction to Neural Networks").
Certificate Information
After completing any of our data science related courses, you will receive a certificate that validates your skills and knowledge in data science.
How to Choose the Suitable Data Science Course?
You need to assess your goals, check prerequisites and review the curriculum.
Which course is best in the category of Data Science Courses?
We have a plenty of good courses, related to data science field, among which we can highlight "Adavnced Techiniques in pandas", "Ultimate Visualization with Python" and "ML Introduction with scikit-learn".
Why should I consider taking an online Data Science course with your company?
We are providing our clients with comprehensive curriculum, hands-on experience and expert instructors.
Tips for successful Data Science course completion
You need to stay organized, learn actively and practice regulary.
What is the Cost of Training for Data Science Courses?
We offer flexible pricing options. Our Pro Plan starts at $49 per month or $99 for three months, with savings on our Pro Annual Plan at $144. Our Ultimate Plan is $59 per month, $147 for three months, or $299 annually. Each plan includes access to expert-crafted content, interactive challenges, and certification.
Which Data Science Course is Best Suited for Beginners?
For beginners good options may be "Introduction to SQL" and "Pandas First Steps".
What are the key skills required to excel in Data Science?
You should better have basic programming experience and fundamental mathematical knowledge.
How does Data Science compare to Machine Learning?
Data Science focuses on the entire process of working with data, while machine learning is a subset of data science that specifically deals with developing and applying algorithms that allow computers to learn from and make predictions based on data.
What impact does Data Science have on the industry?
Data Science drives innovation and efficiency across various industries by providing actionable insights, improving decision-making, and optimizing processes. For example, it helps businesses understand market trends, customer behavior, and operational efficiency.
Is a data science course difficult?
The difficulty level can vary depending on your background and the course's complexity. Courses that offer hands-on practice and support can make the learning process more manageable. Basic understanding of statistics and programming can help ease the difficulty.
What degree do you need for data science?
While a specific degree is not always required, many data scientists hold degrees in fields such as Computer Science, Statistics, Mathematics, or Engineering. Some positions may require advanced degrees or specialized certifications, but practical experience and skills can also be highly valuable.
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100+ Top-Rated coursesCompletion certificatesAI-Assistant in all courses20+ hands-on Real-world projectsPersonalized study tracksUnlimited workspacesTop courses in the Data Science category
1. | Data Analysis with Excel |  2 hours |  15 chapters |
2. | Conducting A/B Test | 2 hours | 14 chapters |
3. | Introduction to SQL | 4 hours | 41 chapters |
4. | Excel for Beginners | 4 hours | 49 chapters |
5. | Pandas First Steps | 4 hours | 33 chapters |
1. Data Analysis with Excel
Hours
Chapters2. Conducting A/B Test
HoursChapters3. Introduction to SQL
HoursChapters4. Excel for Beginners
HoursChapters5. Pandas First Steps
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