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Free Download Coursera - Applied Data Analytics Specialization
Released 12/2024
By Edureka
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 276 Lessons ( 20h 17m ) | Size: 4.64 GB
Master Transformative Data Analytics with Python, SQL, and Power BI to derive actionable insights and make data-driven decisions.
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.
Skills you'll gain
Inferential Statistics
Microsoft SQL Server Integration
Data Visualization
Python (Programming Language)
Predictive Modeling
Data Manipulation with SQL
Publishing Reports and Dashboards
Exploratory Data Analysis
Data Analysis
Power BI
Machine Learning
Model Evaluation
Begin your journey with the Applied Data Analytics Specialization, designed for both beginners and professionals. This program equips you with essential skills in Python, SQL, and Power BI to analyze, visualize, and extract actionable insights.
Explore key concepts like data visualization, SQL queries, predictive modeling, and building dashboards. Through hands-on projects and case studies, gain the expertise to build predictive models, create dynamic dashboards, and solve business challenges effectively.
The specialization comprises four comprehensive courses
Applied Data Analytics with Python and SQL: Master data manipulation, querying, and analysis using Python and SQL.
Python for Data Visualization and Analysis: Learn to create impactful visuals and perform exploratory data analysis using Python libraries like Matplotlib, Seaborn, and Plotly.
Predictive Modeling with Python: Develop and optimize machine learning models for actionable insights.
Advanced Analytics with Power BI: Leverage Power BI to create interactive dashboards and reports to derive actionable insights for making data-driven decisions.
By the end of this program, you'll be ready to solve complex data challenges, deliver impactful insights, and advance your career in analytics. Join us to unlock the full potential of data and make meaningful contributions in any industry!
Applied Learning Project
In this specialization, learners will apply their data analytics skills to real-world scenarios by analyzing customer behavior with Python and SQL, building predictive models for business forecasting, and creating interactive dashboards with Power BI. These projects provide hands-on experience in data visualization, predictive modeling, and actionable insights to tackle complex business challenges effectively.
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