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Data Science Courses Online with Certificate
Data Science

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
Level
Type of lesson
Technologies

project

Recognizing Handwritten Digits

Recognizing Handwritten Digits

description 2 hours
description 10 chapters

Advanced

1 STUDYING NOW

Acquired skills: Data Preprocessing, Machine Learning Techniques, Neural Networks, Python Programming, Python Data Manipulation

course

Tableau Fundamentals

Tableau Fundamentals

description 3 hours
description 38 chapters

Beginner

Acquired skills: Data Visualization Techniques, Data Analysis, Data Handling, Exploratory Data Analysis

course

Introduction to Neural Networks

Introduction to Neural Networks

description 4 hours
description 25 chapters

Advanced

Acquired skills: Neural Networks, Model Training and Evaluation, Data Preprocessing, Hyperparameter Tuning, Machine Learning with scikit-learn

course

Advanced Techniques in pandas

Advanced Techniques in pandas

description 4 hours
description 33 chapters

Intermediate

1 STUDYING NOW

Acquired skills: Data Indexing and Selection in pandas, Data Aggregation with pandas, Pandas Data Manipulation

course

Ultimate NumPy

Ultimate NumPy

description 3 hours
description 27 chapters

Intermediate

Acquired skills: NumPy Basics, NumPy Advanced Techniques, NumPy Functions

course

Python Loops Tutorial

Python Loops Tutorial

description 2 hours
description 20 chapters

Beginner

Acquired skills: Problem-Solving, Logical Thinking, Python Programming, Code Efficiency

project

Identifying the Most Frequent Words in Text

Identifying the Most Frequent Words in Text

description 1 hour
description 11 chapters

Beginner

Acquired skills: Data Analysis, Python Programming, Text Summarization, Natural Language Processing, Python Data Manipulation

course

Office Package

Office Package

description 1 hour
description 16 chapters

Beginner

Acquired skills: Excel Automation, Excel Formulas, Excel Power Query, Excel for Beginners, Power Pivot Handling

course

Databases in Python

Databases in Python

description 3 hours
description 21 chapters

Intermediate

Acquired skills: Python Programming, CRUD Operations, SQL in Python Projects, Database Normalization, SQL Basics

course

ML Introduction with scikit-learn

ML Introduction with scikit-learn

description 4 hours
description 32 chapters

Intermediate

Acquired skills: Machine Learning with scikit-learn, Model Training and Evaluation, Hyperparameter Tuning

project

Detecting Patterns in Text with Regex

Detecting Patterns in Text with Regex

description 1 hour
description 8 chapters

Beginner

Acquired skills: Python Programming, Regular Expressions (Regex)

course

Introduction to NLP

Introduction to NLP

description 4 hours
description 24 chapters

Advanced

Acquired skills: Natural Language Processing, Natural Language Handling

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Real-world projects

Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers

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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)
X
Tanium
Airbnb
Stripe
NVIDIA
LinkedIn
Hiring companies
*Source: Glassdoor
Chosen by students of top schools
Including 30 out of top-30 U.S. colleges
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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.
What Our Users Say
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UltimateAll you need to boost your career$25 /monthBilled annually

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Top courses in the Data Science category
1.
Data Analysis with Excel
time2 hours
chapters15 chapters
2.
Conducting A/B Test
time2 hours
chapters14 chapters
3.
Introduction to SQL
time4 hours
chapters41 chapters
4.
Excel for Beginners
time4 hours
chapters49 chapters
5.
Pandas First Steps
time4 hours
chapters33 chapters
1. Data Analysis with Excel
timeHours
2
chaptersChapters
15
2. Conducting A/B Test
timeHours
2
chaptersChapters
14
3. Introduction to SQL
timeHours
4
chaptersChapters
41
4. Excel for Beginners
timeHours
4
chaptersChapters
49
5. Pandas First Steps
timeHours
4
chaptersChapters
33

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