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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
Check the Study Plan Here
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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.
- 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 - libraries (Numpy, Pandas, Matplotlib and Seaborn)
- Power Bi
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.
- Basic computer literacy
- Familiarity with Microsoft Excel is recommended but not required.
- 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.