Data Analytics

Data Analytics Courses

Choose a course that suits your goals - from the basics to advanced skills in data analytics.

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Gained skills:

Python ProgrammingData AnalysisData VisualizationSQL BasicsData HandlingData Visualization TechniquesData Indexing and Selection in pandasData Aggregation with pandasPython Data ManipulationData ModelingData PreprocessingExploratory Data AnalysisData Analysis with ExcelExcel FormulasExcel AutomationProbability TheoryStatistical MethodsPandas Data ManipulationProblem-SolvingHandling OutliersNatural Language ProcessingNumPy BasicsNumPy FunctionsData ManipulationWeb Scraping with PythonBusiness AnalysisHypothesis TestingExcel Power QueryAnomaly Detection TechniquesMachine Learning Techniques

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Browse Data Analytics courses and projects

Level

Type of lesson

Technologies

Ultimate NumPy

3 hours

27 chapters

Intermediate

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

Business Analysis Fundamentals

2 hours

18 chapters

Beginner

Acquired skills: Business Analysis, Problem-Solving, Data Handling

Python Loops Tutorial

2 hours

21 chapters

Beginner

2 STUDYING NOW

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

Identifying the Most Frequent Words in Text

1 hour

11 chapters

Beginner

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

Databases in Python

3 hours

21 chapters

Intermediate

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

Association Rule Mining

2 hours

15 chapters

Intermediate

Acquired skills: Data Analysis, Python Data Manipulation, SQL Basics, Data Modeling, Data Handling

Detecting Patterns in Text with Regex

1 hour

8 chapters

Beginner

Acquired skills: Python Programming, Regular Expressions (Regex)

Time Series Essentials

1 hour

8 chapters

Intermediate

Acquired skills: Time Series Analysis

Ultimate Visualization with Python

3 hours

26 chapters

Intermediate

Acquired skills: Data Visualization, Data Visualization Techniques, Python Visualization, Python Visualization with Matplotlib, Seaborn Visualization

Structuring Applications Using OOP Principles

1 hour

8 chapters

Intermediate

Acquired skills: Python Programming, Python OOP

Advanced Probability Theory

5 hours

27 chapters

Advanced

Acquired skills: Probability Theory, Statistical Methods, Data Analysis

Automating Data Collection from Web Sources

1 hour

7 chapters

Intermediate

Acquired skills: Python Programming, Web Scraping with Python

1 2 3

Choose a career pathComprehensive programs to master a career pathway

track

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Mastering Data Visualization

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

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Codefinity

Video-based learning platforms

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.

Financial Analyst

Data Analyst

Big Data Analyst

Business Analyst

Data Scientist

$86k

$115k

$144k

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 Analytics Courses: Key Info and Questions

What is the Introduction to Data Analytics Courses?

Data Analytics involves examining data sets to draw conclusions about the information they contain, often with the aid of specialized systems and software.

What are the Benefits of Our Data Analytics Courses?

Our courses offer comprehensive training in mathematics, probability theory, visualization and BI tools, hands-on experience, preparing you for a successful career in data analytics.

What are the Career Opportunities After Completion of Data Analytics Courses?

Graduates can pursue roles such as Data Analyst, Business Analyst, Data Scientist, and Data Engineer in various industries like finance, healthcare, and technology.

What are the Data Analytics Course Options?

We offer various courses, including beginner to advanced levels, specialized topics, and industry-specific analytics training. You can start with basic Mathematics courses, learn visualization techniques, and finally discover several BI tools.

What is the Certificate Information?

Upon completion, you will receive a certificate that validates your skills and knowledge in data analytics.

Why Should I Consider Taking an Online Data Analytics Course with Your Company?

Our online courses offer flexibility, expert instructors, real-world projects, and continuous support to ensure you succeed in your learning journey.

What Are Some Tips for Successful Data Analytics Course Completion?

Stay organized, practice regularly, seek feedback, and apply what you learn through hands-on projects.

What is the Cost of Training for Data Analytics Courses?

We have several pricing plans that are common for all our courses. You can find them via the link: https://codefinity.com/pricing.

Which Data Analytics Course is Best Suited for Beginners?

You should start with basic numpy and pandas courses if you are a beginner.

What Are the Key Skills Required to Excel in Data Analytics?

Critical thinking, statistical analysis, proficiency in data tools and software, programming skills, and effective communication are essential.

How Does Data Analytics Differ from Business Intelligence?

Data Analytics focuses on discovering patterns and insights from data, while Business Intelligence is about using data to make informed business decisions.

What Impact Does Data Analytics Have on the Healthcare Industry?

Data Analytics improves patient care, optimizes operations, predicts outbreaks, and supports medical research by providing actionable insights.

How Does Data Analytics Compare to Data Science in Terms of Skills Required?

Data Analytics focuses more on statistical and analytical skills, while Data Science requires additional expertise in machine learning, programming, and complex algorithm development.

Is It Worth Doing a Data Analytics Course?

Yes, it is worth it as it opens up numerous career opportunities, equips you with in-demand skills, and enhances your problem-solving capabilities.

Is Data Analytics Hard?

Data Analytics can be challenging, but with the right training, practice, and support, it is manageable and rewarding.

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