Business > Business Analytics & Intelligence
17 h
£44.99 Free for 0 days
Data Analyst Skillpath: Master Excel, SQL & Python (हिंदी)
What you will learn:
- Microsoft Excel सीखने वाले सभी नए विद्यार्थियों के लिए कोर्स - इसमें आप Microsoft Excel, Spreadsheets, Formulas, Excel shortcuts, Macros आदि सीखेंगे
- Excel के सबसे ज़रूरी और लोकप्रिय Lookup फंक्शन जैसे - Vlookup, Hlookup, Index और Match फंक्शनों को काफी अच्छे से सीख पाओगे ।
- SQL की सभी ज़रूरी commands को सीख पाओगे |
- Bar chart, Scatter plots, Histogram आदि का उपयोग करके अपने दर्शकों को आकर्षित कर पाओगे ।
- Machine Learning Linear Regression problem के लिए data collection और data preprocessing की गहराई से जानकारी प्राप्त करोगे |
- Data Analysis के क्षेत्र में अपनी नई जॉब खोजने के लिए तैयार हो जाइए।
- Learn Data Analysis in Hindi with the most popular tools, Excel, SQL, and Python
- Master the core skills needed to become a data analyst from scratch
- Explore how to analyze data, create insightful visuals, and predict outcomes using powerful techniques
- Boost your career prospects with in-demand data analysis skills
Description
Are you ready to unlock the power of data and launch your career as a Data Analyst? This comprehensive course, taught entirely in Hindi, will equip you with the essential skills you need to excel in this high-demand field.
You'll delve into the world of data analysis by mastering:
- Excel for Data Manipulation: Learn fundamental Excel techniques, including formulas, functions, data visualization, and automation with macros, to effectively manage and analyze data.
- SQL for Data Retrieval and Manipulation: Gain proficiency in SQL, the language used to query and manipulate data from databases, empowering you to extract valuable insights.
- Python for Data Science: Discover the power of Python, a versatile language for data analysis, machine learning, and more. Build a strong foundation in Python programming and key data science libraries.
- Machine Learning with Linear Regression: Explore the foundational machine learning concept of linear regression, a powerful technique for predicting outcomes based on data patterns.
This course is designed for individuals with all levels of experience, whether you're a complete beginner or have some prior knowledge. Through clear explanations, hands-on exercises, and real-world examples, you'll build a strong portfolio of skills to confidently pursue data analysis opportunities.
Why Choose This Course?
- Expert Instruction: Learn from experienced professionals with a passion for data analytics who have helped businesses make data-driven decisions.
- Practical Approach: Focus on real-world applications and problem-solving through practical exercises and project-based learning.
- Hindi Language Support: Learn comfortably and confidently in Hindi, making the course accessible to a broader audience.
- Verifiable Certificate: Receive a Certificate of Completion upon successful completion of the course, showcasing your newfound skills.
Don't wait! Join our Data Analyst Skillpath course today and embark on your journey to becoming a confident and skilled data analyst. Enroll now and unlock the potential within data!
Curriculum
Introduction
This introductory section sets the stage for your Data Analyst journey. You'll get acquainted with the course structure and its resources, ensuring you're well-prepared for the exciting learning experience ahead. The lectures cover a comprehensive overview of the course, its objectives, and the valuable resources that will support your learning journey. You'll also be guided through accessing essential course materials and understanding how to navigate the platform effectively.
Excel Basics
This section delves into the fundamentals of Microsoft Excel, empowering you to confidently manage and manipulate data within spreadsheets. You'll learn how to work with basic worksheet elements, format data, and perform essential data handling operations like cutting, copying, and pasting. You'll also explore the basics of saving and printing, ensuring you can effectively manage your work. The section concludes with a quiz to assess your understanding of the core Excel concepts covered.
Essential Formulas
This section dives deep into essential Excel formulas, equipping you to perform various calculations and data manipulations. You'll explore basic mathematical, textual, logical, and date-time functions, mastering the skills needed to analyze and interpret data effectively. You'll also learn about powerful lookup functions like Vlookup, Hlookup, Index, and Match, which allow you to efficiently find and retrieve data from spreadsheets. Each concept is reinforced with practical exercises, and a quiz at the end helps you solidify your understanding of these fundamental Excel formulas.
Data Tools
This section explores advanced Excel data tools, enhancing your ability to manipulate and analyze data efficiently. You'll learn to utilize powerful features like sorting, filtering, data validation, and data importing. You'll also explore the art of formatting data and tables, presenting your findings in a clear and visually appealing manner. Practical exercises and a quiz will test your proficiency in using these data tools.
Excel Charts
This section unlocks the power of data visualization in Excel, enabling you to create compelling charts and graphs that effectively communicate insights. You'll explore the importance of data visualization, understand the key elements of charts, and learn to create various chart types, including bar charts, column charts, line charts, area charts, pie charts, doughnut charts, scatter plots, waterfall charts, and sparklines. You'll also master techniques for formatting charts to ensure clarity and impact. Practical exercises and a quiz will solidify your skills in creating effective visualizations.
Pivot Table and Pivot Charts
This section introduces you to the versatile world of pivot tables and pivot charts, powerful tools for summarizing and analyzing large datasets. You'll learn how to create pivot tables to quickly analyze and summarize data, enabling you to identify patterns, trends, and key insights. You'll also discover how to create pivot charts, providing a visual representation of your pivot table analysis. Practical exercises will help you master the creation and use of these powerful tools.
Macros
This section dives into the world of Excel macros, allowing you to automate repetitive tasks and streamline your data analysis workflow. You'll learn how to record and edit macros, empowering you to automate tasks like formatting, calculations, and data manipulation. Practical exercises will help you apply your macro skills, and a quiz will test your understanding of macro programming.
SQL Introduction
This section marks your introduction to SQL, the essential language for querying and manipulating data from databases. You'll gain an understanding of its importance in data analysis and learn how to interact with databases effectively. You'll also get a glimpse into the real-world applications of SQL and how it empowers data professionals.
Installation and Getting Started
This section guides you through the process of installing and setting up SQL, ensuring you have the necessary environment for learning and practice. You'll learn to install the required software and configure it correctly, enabling you to access and interact with SQL databases.
Case Study
This section immerses you in a practical case study, allowing you to apply your SQL skills to a real-world scenario. You'll learn to analyze data, extract meaningful insights, and gain a deeper understanding of how SQL is used to solve business problems.
Fundamental SQL Statements
This section provides a comprehensive foundation in SQL, equipping you with the essential commands for managing and manipulating data within databases. You'll learn to create tables, insert data, retrieve data using the SELECT statement, update existing data, and delete data. You'll also explore fundamental SQL commands like SELECT DISTINCT, WHERE, logical operators, ALTER, and DELETE. Each command is accompanied by practical exercises and coding challenges, helping you solidify your understanding. A quiz at the end of the section assesses your grasp of these foundational SQL concepts.
Restore and Back-up
This section focuses on critical SQL operations related to data recovery and protection. You'll learn how to restore and back up databases, ensuring data integrity and preventing data loss. You'll also explore troubleshooting techniques for common restoration issues, ensuring you can effectively recover and manage your data.
Section Commands: Filtering
This section delves into SQL commands used for filtering data, allowing you to selectively retrieve data based on specific criteria. You'll explore powerful commands like IN, BETWEEN, and LIKE, empowering you to target and isolate relevant data sets. You'll also learn to apply logical operators to combine multiple filter conditions, providing greater flexibility in data retrieval. Practical exercises and a quiz will test your ability to use these filtering techniques effectively.
Selection Commands: Ordering
This section equips you with SQL commands for ordering data, enabling you to present your data in a logical and structured manner. You'll learn to use the ORDER BY command to sort data based on specific columns, either in ascending or descending order. You'll also discover the LIMIT command, allowing you to control the number of rows returned in your queries. Practical exercises and a quiz will test your proficiency in using these ordering techniques.
Alias
This section introduces you to the AS operator in SQL, a handy technique for providing aliases to columns and tables. You'll learn how to use aliases to make your SQL queries more readable and concise, improving the clarity of your code.
Aggregate Commands
This section explores aggregate functions in SQL, enabling you to summarize and analyze data efficiently. You'll master commands like COUNT, SUM, AVERAGE, MIN, and MAX, which allow you to calculate statistical measures across data sets. Practical exercises and a quiz will test your proficiency in using these aggregate functions effectively.
Group By Commands
This section dives into GROUP BY and HAVING clauses, empowering you to group data and apply filtering conditions on aggregated results. You'll learn to use the GROUP BY clause to group data based on specific criteria and apply the HAVING clause to filter those groups based on specific conditions. Practical exercises and a quiz will reinforce your understanding of these powerful grouping commands.
Conditional Statement
This section introduces you to the CASE WHEN statement in SQL, providing conditional logic for evaluating data and returning specific results. You'll learn how to create conditional expressions, allowing your queries to make decisions based on the data, making your analysis more dynamic and insightful. Practical exercises will test your ability to use this conditional statement effectively.
JOINS
This section delves into the world of JOINS, a core SQL concept for combining data from multiple tables. You'll explore various JOIN types, including INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, and CROSS JOIN. You'll learn how to use these JOINs to effectively retrieve related data from multiple tables, allowing you to analyze and interpret data from different sources. Practical exercises and a quiz will test your proficiency in applying different JOINS to your queries.
Subqueries
This section introduces you to subqueries, nested queries within your main query that provide additional filtering and data manipulation. You'll learn how to use subqueries in WHERE, FROM, and SELECT clauses, allowing you to perform complex data retrieval and analysis tasks. Practical exercises will reinforce your understanding of using subqueries effectively.
Fun way to practice SQL
This section offers a light-hearted and engaging approach to practicing your SQL skills. You'll be challenged with a murder mystery scenario, putting your SQL expertise to the test as you analyze clues and uncover the truth.
Views and Indexes
This section dives into the concepts of VIEWS and INDEXES in SQL, enhancing your ability to manage and optimize databases. You'll learn to create VIEWS, virtual tables that simplify complex queries and improve code readability. You'll also discover the importance of INDEXES, which speed up data retrieval by creating pointers to specific data values. Practical exercises will help you implement these concepts and a quiz will test your understanding of VIEWS and INDEXES.
String Functions
This section explores a variety of SQL string functions, empowering you to manipulate and analyze text data within databases. You'll learn to use functions like LENGTH, UPPER, LOWER, REPLACE, TRIM, LTRIM, RTRIM, CONCATENATION, and SUBSTRING to extract, modify, and analyze text data. Practical exercises will test your proficiency in using these string functions.
Mathematical Functions
This section covers essential SQL mathematical functions, allowing you to perform various calculations and manipulations on numerical data. You'll learn to use functions like CEIL, FLOOR, RANDOM, SETSEED, ROUND, and POWER to perform calculations and data manipulation. Practical exercises will help you master these functions and a quiz will assess your understanding.
Date-Time Functions
This section explores SQL date-time functions, empowering you to work effectively with dates and times within databases. You'll learn to use functions like CURRENT DATE, CURRENT TIME, AGE, and EXTRACT to manipulate and analyze date-time data. A quiz will test your proficiency in using these date-time functions.
Window Functions
This section delves into the powerful world of SQL window functions, enabling you to perform calculations across rows within a result set. You'll learn to use functions like ROW_NUMBER, RANK, DENSE_RANK, NTILE, AVERAGE, COUNT, SUM, TOTAL, RUNNING TOTAL, LAG, and LEAD to gain deeper insights from your data. Practical exercises will help you apply these window functions to solve data analysis problems.
Data Type Conversion Functions
This section provides a comprehensive guide to SQL data type conversion functions, allowing you to seamlessly convert data from one type to another. You'll learn to convert data between numeric, string, and date formats, ensuring compatibility and efficient data manipulation.
Nail That Interview!
This section is designed to help you prepare for data analysis job interviews by covering common SQL concepts and interview questions. You'll learn about tablespace, primary key, foreign key, ACID compliance, and TRUNCATE, equipping you with the knowledge and confidence to ace your interviews.
Performance Tuning Tips
This section provides valuable tips and techniques for optimizing SQL query performance, ensuring efficient data retrieval. You'll learn to use EXPLAIN to analyze query execution plans, understand the importance of indexes, and explore other techniques for improving query speed. You'll also discover strategies for minimizing the use of string functions, optimizing joins, and understanding schemas to improve query efficiency.
Introduction to Linear Regression
This section marks your entry into the world of machine learning, specifically linear regression. You'll learn about the core concept of linear regression and its applications in data analysis.
Setting up Python and Jupyter Notebook
This section guides you through the process of setting up your Python environment, ensuring you have the tools needed for machine learning. You'll learn to install Python and Anaconda, essential packages for data science. You'll also explore Google Colab, a cloud-based platform for Python programming, providing a convenient and accessible environment. You'll also dive into fundamental Python concepts like arithmetic operators, strings, lists, tuples, dictionaries, and libraries like NumPy, Pandas, and Seaborn, laying a strong foundation for your data science journey.
Basics of Statistics
This section provides a comprehensive introduction to statistics, covering essential concepts and tools for data analysis. You'll learn about different types of data, measures of central tendency, and measures of dispersion, equipping you with a strong statistical foundation for your data analysis journey.
Introduction to Machine Learning
This section dives into the exciting world of machine learning, providing an overview of its core concepts and applications. You'll learn about the different types of machine learning, its significance in data analysis, and how it empowers businesses to extract valuable insights from data.
Data Preprocessing
This section focuses on the crucial process of data preprocessing, ensuring your data is ready for machine learning models. You'll learn about the importance of gathering business knowledge, exploring your data, performing univariate and bivariate analysis, and handling outliers, missing values, seasonality, and qualitative data. You'll also explore techniques for variable transformation and deletion. Practical exercises will guide you through these data preprocessing steps.
Linear Regression
This section delves into the powerful technique of linear regression, a core machine learning algorithm for predicting outcomes based on relationships within data. You'll explore the core equations, learn to assess model accuracy using RSE and R squared, and discover different types of linear models. You'll also learn about subset selection techniques, shrinkage methods like Ridge and Lasso, and the importance of test-train split to ensure robust model performance. Practical exercises will reinforce your understanding of linear regression and its applications.
Congratulations & about your certificate
This final section celebrates your achievement as you complete the course, providing information about your Certificate of Completion. You'll also get insights into the next steps you can take to further your data analysis career. A bonus lecture provides valuable information and resources to help you on your continued learning journey.
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