Expert-Led No.1
Data Analysis Course Institute in India (Data Analyst)
120 Hrs Instructor Led Training
20 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
Enroll in ITDESK for Data Analysis Course and begin a transformative journey toward mastering the art of deciphering data for insightful decision-making. Our comprehensive program equips you with the essential knowledge and skills required to excel in the field of data analysis.
Throughout the Data Analysis course, you’ll delve into fundamental concepts such as data extraction, cleaning, manipulation, and analysis using industry-standard tools like Python, R, SQL, and Excel. From statistical analysis to data visualization and machine learning basics, you’ll gain hands-on experience with practical exercises and real-world projects essential for success in data-driven roles across industries. Embark on this enriching journey to become proficient in uncovering valuable insights from data
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1.1 Overview of Data Analytics
1.2 Understanding Data Lifecycle.
1.3 Importance of Data Analytics in Business
2.1 Excel Basics and Data Manipulation.
2.2 Advanced Excel Functions (VLOOKUP, INDEX/MATCH, etc.).
2.3 Pivot Tables and Charts for Data Analysis.
2.4 Statistical Analysis using Excel.
3.1 Introduction to SQL and Relational Databases.
3.2 Basic SQL Queries (SELECT, INSERT, UPDATE, DELETE).
3.3 Joins, Subqueries, and Aggregation Functions.
3.4 Data Manipulation and Filtering in SQL.
4.1 Advanced SQL Queries (Nested Queries, Window Functions).
4.2 Stored Procedures and Functions.
4.3 Data Import/Export with SQL Server.
4.4 Performance Tuning and Optimization.
5.1 Introduction to Power BI.
5.2 Connecting to Data Sources.
5.3 Creating Data Models and Relationships.
5.4 Building Interactive Dashboards and Reports.
5.5 DAX (Data Analysis Expressions) for Calculated Columns and Measures.
5.6 Publishing and Sharing Reports with Power BI.
6.1 Basic plotting techniques: Line plots, scatter plots, bar plots.
6.2 Customizing plots: Labels, titles, colors, markers
6.3 Plotting categorical data: Histograms, box plots, violin plots
6.4 Customizing axes and ticks
6.5 Introduction to Seaborn library.
6.6 Creating visually appealing statistical plots: Distribution plots, pair plots, heatmap
6.7 Integration with pandas DataFrame
6.8 Creating interactive plots: Line charts, scatter plots, bar plots
6.9 Adding interactivity: Hover effects, tooltips, zoom
Data analysis is the process of examining, cleaning, transforming, and interpreting data to uncover insights, trends, and patterns. It involves using various statistical and computational techniques to derive meaningful conclusions and make informed decisions based on the data. Data analysis plays a crucial role in informing business strategies, optimizing processes, and driving innovation across various industries
Learning data analysis equips you with the skills to make informed decisions, uncover valuable insights, and drive business success by leveraging the power of data. In today's data-driven world, proficiency in data analysis opens up numerous career opportunities across industries, offering high demand and competitive salaries. Mastering data analysis empowers you to tackle complex problems, optimize processes, and contribute meaningfully to organizational growth and innovation
After completing the Data Analysis course with ITDESK and submitting the given live projects, you will be rewarded with a professional certificate. It is recognized by top companies in India and Global, and can help you find an impressive job or internship.
Joining the Data Analysis course at ITDESK provides hands-on training in Data Analysis, empowering you to express creativity and effectively communicate online. With experienced instructors and a focus on industry-relevant skills, ITDESK offers a supportive learning environment to help you kickstart a career in web design with confidence
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Fundamental knowledge of Excel , Basics of Programming and SQL Fundamentals.
Expert-Led No.1
Data Analysis Course Institute in India (Data Analyst)
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