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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
  • timing Timings: 06:00 PM - 07:00 PM
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  • ONLINE_LIVE_CLASSES40 HrsOnline Live Classes
  • VIDEOS107Videos
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₹ 7,999
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This Course Includes

  • ONLINE_LIVE_CLASSES40 Hrs Online Live Classes
  • VIDEOS107 Videos
Product Description

This package is not a part of Extended Validity Campaign


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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