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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

course

Data Analysis with Excel

Data Analysis with Excel

description 2 hours
description 15 chapters

Intermediate

Acquired skills: Data Preprocessing, Data Visualization, Data Analysis with Excel, Excel Power Query, Excel Formulas

project

Conducting A/B Test

Conducting A/B Test

description 2 hours
description 14 chapters

Intermediate

Acquired skills: Data Visualization, Hypothesis Testing, Data Preprocessing, Handling Outliers, Exploratory Data Analysis

course

Introduction to SQL

Introduction to SQL

description 4 hours
description 41 chapters

Beginner

1 STUDYING NOW

Acquired skills: SQL Basics, Data Manipulation

course

Excel for Beginners

Excel for Beginners

description 4 hours
description 49 chapters

Beginner

318 STUDYING NOW

Acquired skills: Data Preprocessing, Data Visualization, Excel Formulas, Excel for Beginners

course

Pandas First Steps

Pandas First Steps

description 4 hours
description 33 chapters

Intermediate

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

course

Intermediate SQL

Intermediate SQL

description 3 hours
description 25 chapters

Intermediate

Acquired skills: Intermediate SQL, Data Handling, Data Manipulation, Data Modeling

course

Excel Formulas

Excel Formulas

description 1 hour
description 15 chapters

Beginner

Acquired skills: Data Preprocessing, Data Analysis with Excel, Excel Formulas

project

Conducting Exploratory Data Analysis of Nobel Prizes

Conducting Exploratory Data Analysis of Nobel Prizes

description 1 hour
description 6 chapters

Intermediate

Acquired skills: Exploratory Data Analysis, Data Visualization Techniques, Data Aggregation with pandas, Data Indexing and Selection in pandas, Handling Outliers

course

Introduction to Power BI

Introduction to Power BI

description 2 hours
description 27 chapters

Beginner

1 STUDYING NOW

Acquired skills: Data Visualization, Data Visualization Techniques, Power BI Fundamentals

course

Advanced Techniques in SQL

Advanced Techniques in SQL

description 4 hours
description 23 chapters

Advanced

Acquired skills: SQL Query Optimization, Data Indexing and Selection in pandas, Database Management, Database Normalization, SQL Basics, CRUD Operations, Database Modeling

course

Excel for Finance

Excel for Finance

description 3 hours
description 22 chapters

Intermediate

2 STUDYING NOW

Acquired skills: Data Analysis with Excel, Excel Automation, Power Query, Advanced Data Manipulation, Data Modeling, Power Pivot Handling

project

Extracting Text Meaning using TF-IDF

Extracting Text Meaning using TF-IDF

description 2 hours
description 12 chapters

Intermediate

Acquired skills: Natural Language Handling, Natural Language Processing, Python Programming

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Real-world projects

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

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Codefinity
Video-based learning platforms
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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
virginia
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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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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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