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    Foundations of Data Analytics - Master the Art of Data-driven Decision Making | Live + Recorded Batch By Adda247

    • date-icon Starts: 05-Aug-2023
    • seat-icon Seats: 500
    • timmer-icon Timings: 06:00 PM - 07:00 PM
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    • ONLINE_LIVE_CLASSES40 HrsOnline Live Classes
    • VIDEOS107Videos
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    This Course Includes

    • ONLINE_LIVE_CLASSES40 Hrs Online Live Classes
    • VIDEOS107 Videos
    Product Description

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    Unlock the power of data-driven decision-making with our comprehensive Foundations of Data Analytics course. Gain essential skills in data analysis and interpretation, and become proficient in Python, MySQL, Excel, Statistics, and Power BI. Through hands-on exercises and practical examples, this course equips you with the tools and techniques to extract valuable insights and make informed decisions in today's data-driven world.

     

    Date: 5Aug 2023
    Timing: 6:00 PM - 7:00 PM
    Language: Hinglish

     

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    Note : This course package consists of recorded + live sessions. There will be 35 recorded sessions and 5 live sessions in this batch.

     

    Course Objectives:

    • Develop a strong foundation in data analytics, empowering you to tackle complex data challenges.
    • Acquire proficiency in key programming languages and tools used for data manipulation and analysis.
    • Apply statistical methods and techniques to extract meaningful insights from data.
    • Master data extraction, transformation, and loading using MySQL and Excel.
    • Harness the visualization and reporting capabilities of Power BI to present data effectively.
    • Apply data analytics concepts to real-world scenarios and solve business challenges.

     

    What Will You Learn?

    • Python
    • Python - libraries (Numpy, Pandas, Matplotlib and Seaborn)
    • Statistics
    • Power Bi
    • SQL
    • MS-Excel

     

    Language: Hinglish

     

    Course Curriculum:

     

    Module 1: Introduction to Data Analytics

    • Understand the pivotal role of data analytics in effective decision-making.
    • Explore the data analytics lifecycle and grasp key concepts and terminology.

    Module 2: Python for Data Analytics

    • Learn the fundamentals of the powerful Python programming language.
    • Manipulate and clean data using popular Python libraries like NumPy and Pandas.
    • Conduct exploratory data analysis and create compelling visualizations with Matplotlib and Seaborn.

    Module 3: MySQL for Data Management

    • Gain insights into relational databases and SQL.
    • Develop skills in querying and managing data using MySQL.
    • Master advanced techniques like joins, subqueries, and data aggregation.

    Module 4: Excel for Data Analysis

    • Discover essential Excel functions and formulas for efficient data analysis.
    • Acquire techniques for sorting, filtering, and cleansing data.
    • Utilize PivotTables and create visually appealing data visualizations in Excel.

    Module 5: Statistics for Data Analytics

    • Learn descriptive statistics and effective data summarization techniques.
    • Understand correlation analysis to uncover relationships within datasets.

    Module 6: Power BI for Data Visualization

    • Familiarize yourself with Power BI and its extensive features.
    • Gain proficiency in data modeling and transformation using Power Query.
    • Create interactive reports and dynamic dashboards in Power BI Desktop.

    Module 7: Applied Data Analytics

    • Apply data analytics techniques to real-world scenarios and industry-specific challenges.
    • Develop data-driven insights and make actionable recommendations.
    • Enhance your presentation skills to effectively communicate findings to stakeholders.

     

    Who Should Join this Course:
    Our Foundations of Data Analytics course is ideal for professionals looking to enhance their data analytics skills and leverage data for decision-making. This course is particularly beneficial for:

    • Business analysts seeking data-driven insights.
    • Data scientists and researchers aiming to deepen their analytical capabilities.
    • Marketing and sales professionals who want to make data-backed decisions.
    • Finance and accounting professionals interested in data analysis for financial insights.
    • IT and operations professionals seek to optimize processes using data.
    • Individuals passionate about working with data efficiently to drive results.

     

    Prerequisites:

    • Basic computer literacy
    • Familiarity with Microsoft Excel is recommended but not required.

     

    About Mentor:

    • Ayushi Jain (Python and Data Analytics Mentor)
      A data analytics and python mentor with over 5 years of experience.
      Trained over 2000 students.
      Proficient in Python programming Language.
      Hands-on experience working with data analysis tools such as MySQL, MS Excel, Power BI and Tableau.
      Worked on 50+ Projects.

     

    Validity-12 Months

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