Data Analytics

Data Analytics Courses

Learn how to make sense of data. From collecting and cleaning to analyzing and visualizing — these courses will teach you how to turn raw data into real insights using tools like Python, SQL, and Excel.

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Gained skills:

CRUD OperationsData Aggregation with pandasData AnalysisData Analysis with ExcelData HandlingData Indexing and Selection in pandasData ManipulationData ModelingData PreprocessingData VisualizationData Visualization TechniquesDatabase NormalizationExcel FormulasExcel Power QueryExcel for BeginnersExploratory Data AnalysisIntermediate SQLLinear Regression with PythonModel Training and EvaluationNumPy Advanced TechniquesNumPy BasicsNumPy FunctionsPandas Data ManipulationPower BI FundamentalsPython ProgrammingPython VisualizationPython Visualization with MatplotlibSQL BasicsSQL in Python ProjectsSeaborn VisualizationStatistics with Python

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Students have already successfully completed the courses and are applying their skills in the workplace

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Why Codefinity

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Browse Data Analytics courses and projects

Level

Type of lesson

Technologies

Data Analysis with Excel

2 hours

15 chapters

Intermediate

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

Introduction to SQL

4 hours

41 chapters

Beginner

Acquired skills: SQL Basics, Data Manipulation

Excel for Beginners

4 hours

49 chapters

Beginner

17 STUDYING NOW

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

Excel Formulas

1 hour

15 chapters

Beginner

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

Intermediate SQL

3 hours

25 chapters

Intermediate

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

Introduction to Power BI

2 hours

27 chapters

Beginner

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

Tableau Fundamentals

3 hours

38 chapters

Beginner

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

Advanced Techniques in pandas

4 hours

33 chapters

Intermediate

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

Ultimate NumPy

3 hours

27 chapters

Intermediate

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

Databases in Python

3 hours

21 chapters

Intermediate

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

Ultimate Visualization with Python

3 hours

26 chapters

Intermediate

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

Learning Statistics with Python

6 hours

38 chapters

Advanced

Acquired skills: Statistics with Python

1 2

Choose a career pathComprehensive programs to master a career pathway

track

Only for Ultimate

Mastering Data Visualization

Intermediate

Excel Essentials

Beginner

Codefinity advantages

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Workspaces

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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

Why Codefinity stands out

Video content

Downloadable materials

Esteemed certificates

Interactive learning environment

Error correction

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Access to all content with one subscription

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.

Business Analyst

Data Scientist

Financial Analyst

Machine Learning Engineer

Big Data Analyst

$98k

$134k

$170k

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 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.