Data Science Courses
Data Science is the field of turning raw data into meaningful insights and intelligent decisions. In this category, you’ll learn how to collect, process, analyze, visualize, and model data using tools like Python, SQL, machine learning, and BI platforms — preparing you for real-world data-driven challenges.
4.7
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Gained skills:
Apply DCF techniques to real-world case studies for investment and business decisionsBuild complete DCF models in Excel using real company financials and templates.CRUD OperationsCalculate Terminal Value and apply scenario and sensitivity analysis in valuation models.Cloud ComputingConvolutional Neural NetworksData Aggregation with pandasData AnalysisData Analysis with ExcelData HandlingData Indexing and Selection in pandasData ManipulationData ModelingData PreprocessingData VisualizationData Visualization TechniquesDatabase ManagementDatabase ModelingDatabase NormalizationEC2Excel FormulasExcel Power QueryExcel for BeginnersExploratory Data AnalysisHyperparameter TuningImage Processing with OpenCVIntermediate SQLLinear Regression with PythonLogistic RegressionMachine Learning with scikit-learnModel Training and EvaluationNatural Language HandlingNatural Language ProcessingNeural NetworksNumPy Advanced TechniquesNumPy BasicsNumPy FunctionsObject Detection ApproachesPandas Data ManipulationPower BI FundamentalsPython Classification ModelsPython Data StructuresPython ProgrammingPython VisualizationPython Visualization with MatplotlibRDSS3SQL BasicsSQL Query OptimizationSQL in Python ProjectsSeaborn VisualizationStatistics with PythonTensorFlow BasicsUnderstand the components of WACC including cost of equity and cost of debt.Web Scraping with Python
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Browse Data Science courses and projects
3 hours
24 chapters
3 hours 30 chapters
3 hours 20 chapters
Level
Type of lesson
Technologies
course
Introduction to Data Engineering with Azure
3 hours 24 chaptersIntermediate
Acquired skills: Database Management, Data Handling, Cloud Computing
course
Mastering Discounted Cash Flow Analysis with Excel
3 hours 30 chaptersBeginner
Acquired skills: Build complete DCF models in Excel using real company financials and templates., Understand the components of WACC including cost of equity and cost of debt., Calculate Terminal Value and apply scenario and sensitivity analysis in valuation models., Apply DCF techniques to real-world case studies for investment and business decisions
course
PyTorch Essentials
3 hours 20 chaptersAdvanced
Choose a career pathComprehensive programs to master a career pathway
track
Only for Ultimate
Mastering Data Visualization
5 Courses
145 TasksIntermediate
4.6
(7)
track
Only for Ultimate
SQL from Zero to Hero
4 Courses115 TasksBeginner
4.7
(93)
track
Only for Ultimate
Supervised Machine Learning
5 Courses144 TasksIntermediate
4.9
(7)
track
Only for Ultimate
Excel Essentials
4 Courses81 TasksBeginner
4.5
(39)
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Codefinity
Video-based learning platforms
Video content
Downloadable materials
Esteemed certificates
Interactive learning environment
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.
Data Scientist
Big Data Analyst
NLP Engineer
Deep Learning Engineer
AI Researcher
$149k
$197k
$246k
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 "Ultimate NumPy" 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 "Ultimate NumPy" 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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ProBest intro offer$12 /monthBilled annually
100+ Top-Rated coursesCompletion certificatesAI-Assistant in all courses
20+ hands-on Real-world projectsPersonalized study tracksUnlimited workspacesUltimateAll you need to boost your career$25 /monthBilled annually
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. | Introduction to SQL | 4 hours | 41 chapters |
3. | Excel for Beginners | 4 hours | 49 chapters |
4. | Introduction to Cloud Computing | 3 hours | 22 chapters |
5. | Excel Formulas | 1 hours | 15 chapters |
1. Data Analysis with Excel
Hours
Chapters2. Introduction to SQL
HoursChapters3. Excel for Beginners
HoursChapters4. Introduction to Cloud Computing
HoursChapters5. Excel Formulas
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