Applied Data Analytics

Overview

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!

Syllabus

Course 1: Applied Data Analytics with Python and SQL
- Offered by Edureka. Unlock the power of Applied Data Analytics with Python and SQL, gaining hands-on experience in data manipulation, ... Enroll for free.

Course 2: Python for Data Visualization and Analysis
- Offered by Edureka. This course offers a hands-on introduction to data visualization and exploratory data analysis (EDA) using Python's most ... Enroll for free.

Course 3: Predictive Modeling with Python
- Offered by Edureka. This course provides a practical introduction to statistical analysis and machine learning with Python. Learn essential ... Enroll for free.

Course 4: Advanced Analytics with Power BI
- Offered by Edureka. Welcome to the Advanced Analytics with Power BI course, where you'll get hands-on experience with Power BI's advanced ... Enroll for free.

Courses

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16 hours 25 minutes
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This course provides a practical introduction to statistical analysis and machine learning with Python. Learn essential machine learning concepts, methods, and algorithms with a focus on applying them to solve real-world problems. By the end of the course, you will: - Understand different data types used in statistical analysis. - Learn techniques to manage inconsistent data effectively. - Perform hypothesis testing using parametric and non-parametric tests. - Develop exploratory data analysis (EDA) models using statistical and machine learning methods. - Enhance machine learning models through evaluation and optimization techniques. Designed for individuals with a foundational knowledge of Python programming and basic statistical concepts, this course is ideal for aspiring data analysts, data scientists, business executives, machine learning engineers, and anyone passionate about data-driven decision-making. Gain hands-on experience in statistical and predictive modeling and apply your skills to real-world scenarios. Enroll in "Predictive Modeling with Python" today and take your expertise to the next level!
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7 hours 44 minutes
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Welcome to the Advanced Analytics with Power BI course, where you'll get hands-on experience with Power BI's advanced features for complete data analysis and visualization. Discover the power of data transformation and how to develop dynamic reports and dashboards that drive decision-making. This course covers industry-specific applications, guiding you through Power BI's complete capabilities to gain deeper insights and improve your analytical skills. By the end of this course, you’ll be able to: - Explain the different data sources in Power BI Desktop. - Demonstrate the use of Power Query Editor to clean and transform data. - Manipulate data with the DAX formula and depict stories by using different visualization techniques. - Apply Power BI Service features to elevate the quality of your reports and dashboards on Power BI Service. - Create reports and dashboards on Power BI Service by leveraging its key features. - Implement Smart Narrative and Key Performance Indicators to enhance reports for a target audience. This course is designed for a diverse audience including freshers, data analysts, business analysts, business intelligence analysts, and IT professionals who are looking to enhance their data analysis skills through Power BI. Prior experience with Microsoft Excel or spreadsheet applications can be beneficial when working with Power BI. Embark on an educational voyage to master Microsoft Power BI and enhance your skills in creating efficient Reports and Dashboards using the Power BI ecosystem.
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14 hours
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Unlock the power of Applied Data Analytics with Python and SQL, gaining hands-on experience in data manipulation, querying, and analysis. This course will teach you how to efficiently use Python for processing and analyzing data, while leveraging SQL to manage and query databases. You'll develop the skills needed to extract meaningful insights and apply data-driven solutions to real-world challenges, preparing you to make informed decisions in any industry. By the end of this course, you’ll be able to: - Categorize Python tokens and different data types used in Python. - Implement conditional statements to control the flow of execution in Python programs. - Leverage Pandas and NumPy for effective data manipulation, cleaning, and analysis. - Explore and apply SQL to retrieve and manage data in relational databases. This course is designed for beginners, data enthusiasts, and aspiring data scientists who want to build a strong foundation in Python programming and modeling data. No prior programming experience is required, although familiarity with the basics of RDBMS and programming concepts will be helpful. Join us to start your journey into data analysis and programming with Python!
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9 hours 15 minutes
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This course offers a hands-on introduction to data visualization and exploratory data analysis (EDA) using Python's most popular libraries. You'll dive deep into creating stunning visuals with Matplotlib and Seaborn, building interactive charts and dashboards with Plotly, and conducting EDA on complex datasets through advanced graphical methods. Explore how to present data effectively and gain actionable insights from visual representations. By the end of this course, you’ll be able to: - Understand the importance of various visualization techniques. - Select appropriate chart types for visualizing diverse datasets. - Create professional-quality visuals with Matplotlib, Seaborn, and Plotly. - Develop interactive dashboards and visuals with Plotly and IPyWidgets. - Perform EDA on complex datasets and deploy the results using Streamlit. This course is ideal for learners with foundational knowledge of Python programming and a basic understanding of data manipulation. Familiarity with libraries such as Pandas or NumPy is recommended. Whether you're a data analyst, aspiring data scientist, or Python programmer looking to sharpen your data visualization skills, this course equips you with the tools to transform raw data into meaningful stories. Elevate your data analysis journey—enroll in Data Visualization and Exploratory Data Analysis with Python today!