Edureka
Applied Data Analytics Specialization
Edureka

Applied Data Analytics Specialization

Master Transformative Data Analytics with Python, SQL, and Power BI to derive actionable insights and make data-driven decisions.

Edureka

Instructor: Edureka

Sponsored by Mojatu Foundation

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

5 months
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

5 months
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply Python, SQL, and Power BI to analyze, manipulate, and manage data, laying a strong foundation for advanced analytics and decision-making.

  • Create impactful visualizations and conduct exploratory data analysis using advanced Python libraries to uncover trends and insights.

  • Build, evaluate, and refine predictive models to generate actionable insights, supporting data-driven strategies for real-world challenges.

  • Develop interactive dashboards and advanced analytics solutions with Power BI, enabling data visualization and informed decision-making.

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Taught in English
Recently updated!

December 2024

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Specialization - 4 course series

What you'll learn

  • Write Python programs using core concepts like variables, data types, and control flow.

  • Implement NumPy and Pandas to analyze and process large datasets efficiently and accurately.

  • Create insightful data visualizations with Matplotlib, Seaborn, and Plotly for effective reporting.

  • Execute SQL queries to retrieve, manage, and analyze data from relational databases accurately.

Skills you'll gain

Category: Python Programming
Category: Data Analysis
Category: NumPy
Category: Web Scraping
Category: Microsoft SQL Servers
Category: Data Manipulation
Category: Data Science
Category: SQL
Category: Database Management Systems
Category: Query Languages
Category: Statistical Analysis
Category: Database Management
Category: Analytics
Category: Data Analysis Software
Category: Data Processing
Category: Database Systems
Category: Business Analytics
Category: Database Development
Category: Relational Databases
Category: Pandas (Python Package)

What you'll learn

  • Create impactful visualizations using Matplotlib and Seaborn to represent complex datasets effectively.

  • Build dynamic, interactive charts and dashboards with Plotly and IPyWidgets for enhanced data exploration.

  • Build dynamic, interactive charts and dashboards with Plotly and IPyWidgets for enhanced data exploration.

  • Deploy interactive data visualization applications seamlessly with Streamlit to share analysis results.

Skills you'll gain

Category: Data Visualization
Category: Data Visualization Software
Category: Statistical Visualization
Category: Exploratory Data Analysis
Category: Data Presentation
Category: Plot (Graphics)
Category: Data Analysis
Category: Plotly
Category: Interactive Data Visualization
Category: Seaborn
Category: Matplotlib
Category: Data Storytelling

What you'll learn

  • Manage and preprocess data for statistical analysis and modeling.

  • Conduct hypothesis testing using advanced statistical techniques.

  • Build exploratory data analysis (EDA) models to uncover insights.

  • Build and evaluate models to solve real-world data challenges.

Skills you'll gain

Category: Statistical Analysis
Category: Statistics
Category: Probability & Statistics
Category: Data Science
Category: Data Analysis
Category: Statistical Methods
Category: Statistical Modeling
Category: Predictive Analytics
Category: Predictive Modeling
Category: Exploratory Data Analysis
Category: Probability Distribution
Category: Statistical Machine Learning
Category: Descriptive Statistics
Category: Statistical Inference
Category: Statistical Hypothesis Testing
Category: Advanced Analytics
Category: Statistical Programming
Category: Analytics
Category: Regression Analysis
Category: Python Programming

What you'll learn

  • Analyze diverse data sources using Power BI Desktop to support insightful decision-making.

  • Transform and analyze data using advanced DAX for complex analysis in Power BI

  • Develop dynamic reports and dashboards using advanced visualization techniques in Power BI.

  • Apply Power BI Service features to collaborate and publish reports effectively within your organization.

Skills you'll gain

Category: Business Intelligence
Category: Data Modeling
Category: Business Intelligence Software
Category: Data Presentation
Category: Data Visualization
Category: Data Architecture
Category: Data Integration
Category: Data Analysis Expressions (DAX)
Category: Power BI
Category: Extract, Transform, Load
Category: Data Visualization Software
Category: Data Wrangling
Category: Database Design
Category: Dashboard
Category: Data Analysis Software
Category: Data Mapping
Category: Data Transformation
Category: Data Processing

Instructor

Edureka
Edureka
55 Courses52,864 learners

Offered by

Edureka

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