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:
Python Programming Data Preprocessing Data Analysis Model Training and Evaluation Natural Language Processing Python Data Manipulation Hyperparameter Tuning Machine Learning Techniques Data Indexing and Selection in pandas Data Aggregation with pandas SQL Basics Anomaly Detection Techniques Machine Learning with scikit-learn Neural Networks Pandas Data Manipulation Data Modeling Data Handling Web Scraping with Python Python Classification Models Logistic Regression Data Visualization Techniques Database Normalization Data Analysis with Excel Natural Language Handling NumPy Basics NumPy Functions Text Summarization Data Manipulation Data Visualization Probability Theory
Show MoreGained skills:
Python Programming Data Preprocessing Data Analysis Model Training and Evaluation Natural Language Processing Python Data Manipulation Hyperparameter Tuning Machine Learning Techniques Data Indexing and Selection in pandas Data Aggregation with pandas SQL Basics Anomaly Detection Techniques Machine Learning with scikit-learn Neural Networks Pandas Data Manipulation Data Modeling Data Handling Web Scraping with Python Python Classification Models Logistic Regression Data Visualization Techniques Database Normalization Data Analysis with Excel Natural Language Handling NumPy Basics NumPy Functions Text Summarization Data Manipulation Data Visualization Probability Theory
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Choose a career pathComprehensive programs to master a career pathway
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Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
AI-Assisted Learning
Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
Workspaces
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Learning tracks
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
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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
Annual sallary
*Average in the US
$149k
$197k
$246k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Data Analyst
Annual sallary
*Average in the US
$59k
$74k
$90k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Big Data Analyst
Annual sallary
*Average in the US
$98k
$125k
$152k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Business Analyst
Annual sallary
*Average in the US
$98k
$134k
$170k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Financial Analyst
Annual sallary
*Average in the US
$86k
$115k
$144k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Data Scientist
Data Analyst
Big Data Analyst
Business Analyst
Financial Analyst
$149k
$197k
$246k
Min
Average
Max
Annual sallary
(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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ProBest intro offer$12 /monthBilled annually
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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. | Introduction to SQL |  8 hours |  82 chapters |
2. | Intermediate SQL | 3 hours | 25 chapters |
3. | Pandas First Steps | 4 hours | 34 chapters |
4. | Excel Formulas | 1 hours | 15 chapters |
5. | Conducting Exploratory Data Analysis of Nobel Prizes | 1 hours | 6 chapters |
1. Introduction to SQL
Hours
Chapters2. Intermediate SQL
HoursChapters3. Pandas First Steps
HoursChapters4. Excel Formulas
HoursChapters5. Conducting Exploratory Data Analysis of Nobel Prizes
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