Data Analytics
Course Description
Master the fundamentals and advanced techniques of data analytics with our comprehensive training course. Learn to analyze and interpret complex data, use industry-leading tools like Excel, SQL, and Python, and transform insights into actionable strategies.
Whether you're a beginner or looking to enhance your skills, this course will equip you with the expertise to excel in the data-driven world. Start your journey to becoming a data analytics expert today
What You’ll Learn From This Course
- Understand the basics of data analytics, its importance, and its role in decision-making processes across industries.
- Learn how to clean, organize, and prepare data for analysis using tools like Excel, Python, and SQL.
- Master techniques for presenting data visually through graphs, charts, and dashboards using tools like Power BI and Tableau.
- Gain knowledge of statistical methods to analyze and interpret data effectively.
- Dive into Python and R for more complex data analysis tasks, including machine learning and predictive modeling.
- Learn how to use data insights to drive business strategies and make informed decisions.
- Understand the tools and techniques for analyzing large datasets and exploring Big Data platforms.
- Learn how to query and manage databases effectively with SQL.
- Apply your skills through hands-on projects that simulate real-world scenarios in data analytics.
Certification
Upon successful completion of the Data Analytics Training course, you will receive a Certificate of Completion that validates your expertise in data analytics. This certification will demonstrate your proficiency in essential skills such as data cleaning, statistical analysis, data visualization, and the use of advanced tools like Python, R, SQL, and Power BI. It proves your ability to transform raw data into actionable insights and apply them for informed decision-making and business strategy. By earning this certification, you'll enhance your career prospects and stand out in the competitive field of data analytics, showcasing your hands-on experience and technical knowledge to potential employers or clients.
1. About Data Analytics
Course Content
Unlock the power of data with our Data Analytics Fundamentals course! In today's data-driven world, organizations rely on skilled data analysts to make informed decisions and gain a competitive edge. This course is designed to equip you with the essential knowledge and practical skills needed to excel in the field of data analytics.
2. Excel (Basic + Advanced)
Course Content
- Introduction
- Basic Data Entry in Excel
- Basic calculation using (Sum, Subtract, Division, Multiplication, Percentage)
- Intermediate Excel formula use case (sum if, count if, Average if, Mod, Floor, Ceiling, Mod, power, max, min, len, etc.)
- Conditional Formatting
- Different filter options
- Duplication identification and removal
- VLOOKUP
- XLOOKUP
- IF, ELSE, Nested if with different logical operators
- Time intelligence formula and use case
- Data cleaning using (Right, Left, Mid, Trim)
- Power query for data modeling and data cleaning
- Pivot table and Pivot chart
- Use of Slicer with different Pivot charts
- Data extraction, Transformation, and Load
- Creating pivot using two or multiple sheets
- Data-modelling and data connection
- Basic statistics
- Project based on sales data, procurement data, financial data from scratch (including Data cleaning, VLOOKUP, Pivot table, and Pivot chart)
3. Power BI
Course Content
- Overview of Power BI
- Use case of Power BI
- Data injection in Power BI
- ETL using Power Query
- Table connection
- Creating Measure and Calculated Columns using DAX
- Use case of various charts in Power Query
- Time intelligence use case and formula
4. SQL (Structured Query Language)
Course Content
- Overview of SQL
- Overview of Database
- Difference between OLAP and OLTP
- Basic SQL query
- Use of WHERE clause, GROUP BY clause, logical operators, SORT BY, IN, BETWEEN
- Various joins in SQL (Left, Right, Full, Union)
- Nested query
- Window function
- Creating functions
- Temporary Table
5. Python for Data Analytics
Course Content
- Basic Python
- Different types of data types
- List and its operations (indexing, appending, slicing, updating)
- Tuple
- Dictionary
- Set
- For and while loops
- Lambda, map, reducer, zip functions
- Pandas, Numpy, Matplotlib, Seaborn packages
- Importing data from Excel, CSV, MySQL
- Performing various analytics tasks such as handling null values, casting data types, extracting data, creating custom columns, exporting data into Excel, creating various graphs using Matplotlib and Seaborn
6. Other Support
Support Content
- Resume building
- Mock interviews
- LinkedIn account creation
- GitHub repository creation
- Migration of projects to GitHub
- Duration3 Months
- Enrolled80
- Lectures30
- Skill LevelIntermediate
- LanguageEnglish/Hindi
- Quizzes25
- CertificateYes
Pass Percentage90%
Reviews
Sunny Kumar
I recently completed EduOrk Data Analytics training and had a fantastic experience! The course covered data visualization, machine learning, SQL, and statistical analysis in-depth. Interactive lessons, expert instructors, and hands-on projects made learning engaging and effective.