Edureka
Applied Data Analytics 专项课程
Edureka

Applied Data Analytics 专项课程

Prepare for a career in data analytics. Build job-ready skills including Python, SQL, and data visualization for an in-demand role. Gain hands-on experience through real-world projects and case studies.

Edureka

位教师:Edureka

包含在 Coursera Plus

深入学习学科知识
4.1

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中级 等级

推荐体验

5 月 完成
在 5 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
4.1

(9 条评论)

中级 等级

推荐体验

5 月 完成
在 5 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • 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.

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

精进特定领域的专业知识

  • 向大学和行业专家学习热门技能
  • 借助实践项目精通一门科目或一个工具
  • 培养对关键概念的深入理解
  • 通过 Edureka 获得职业证书

专业化 - 4门课程系列

您将学到什么

  • 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.

您将获得的技能

类别:NumPy
类别:Web Scraping
类别:Python Programming
类别:Pandas (Python Package)
类别:SQL
类别:Data Visualization Software
类别:Data Manipulation
类别:Data Wrangling
类别:Data-Driven Decision-Making
类别:Data Processing
类别:Data Analysis
类别:Data Visualization
类别:Databases
类别:Jupyter

您将学到什么

  • 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.

您将获得的技能

类别:Matplotlib
类别:Plotly
类别:Seaborn
类别:Exploratory Data Analysis
类别:Data Storytelling
类别:Data Visualization
 Predictive Modeling with Python

Predictive Modeling with Python

第 3 门课程16小时

您将学到什么

  • 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.

您将获得的技能

类别:Statistical Methods
类别:Predictive Modeling
类别:Machine Learning Algorithms
类别:Data Analysis
类别:Pandas (Python Package)
类别:Python Programming
类别:Statistical Analysis
类别:Scikit Learn (Machine Learning Library)
类别:Data Manipulation
类别:NumPy
类别:Predictive Analytics
类别:Machine Learning
Advanced Analytics with Power BI

Advanced Analytics with Power BI

第 4 门课程9小时

您将学到什么

  • 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.

您将获得的技能

类别:Data Import/Export
类别:Data-Driven Decision-Making
类别:Business Reporting
类别:AI Personalization

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Edureka
Edureka
98 门课程102,390 名学生

提供方

Edureka

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