Best Data Analytics Course in Nagercoil

What is Data Analytics?

• Data analytics refers to the process of examining, cleaning, transforming, and interpreting large volumes of data to discover valuable insights, make informed decisions, and identify patterns, trends, and relationships

What is average salary of Data Analyst?

• According to Glassdoor, the average base pay of data analyst is ₹6,76,425.

Why you should learn data analytics course?

• High demand and good salary: Data analysts are in high demand in a wide variety of industries, and they command high salaries. According to the Bureau of Labor Statistics, the median annual salary for data analysts in the United States is $98,230.
• Problem-solving skills: You will develop strong problem-solving skills that can be applied to any field.
• Critical thinking skills: Data analytics requires critical thinking skills to identify patterns and trends in data. These skills are also valuable in other areas of life, such as making decisions and solving problems.
• Creativity: Data analytics can be a creative field, as you need to come up with new ways to visualize and present data. This can help you develop your creativity and problem-solving skills.
• Job satisfaction: Data analysts often find their work to be very rewarding, as they are able to use their skills to make a positive impact on businesses and organizations.
• Opportunities for growth: The field of data analytics is constantly evolving, which means that there are always new opportunities for learning and growth. This can be a great way to stay ahead of the curve and advance your career.

Why you should learn from Shiro Software Training institue?

• Curriculum: Our curriculum is comprehensive and cover all the essential concepts of Data analytics . It is up-to-date and reflect the latest changes in the industrical needs.
• Instructors: The instructors are experienced and knowledgeable in Data analytics. They explain the concepts clearly and answer questions effectively.
• Resources: We provide access to a variety of resources, such as textbooks, online tutorials, and coding exercises. This will help students learn at their own pace and get the support they need.
• Support: We support students throughout the learning process. This may include access to online forums, email support, or one-on-one tutoring.
• Certification: Shiro Software Solutions offers a certification after successful completion of the Data analytics course. This will demonstrate their skills and knowledge to potential employers.

Data analytics course fee in nagercoil?

Our Data analytics course fee is ranges start from 15000 to 25000 according to your requirement.For more detail you may fill the enquiry form or call us +91 9442153980 or training@shirosoft.com

Data Analytics Course Syllabus

Business Statistics

Introduction to Statistical Analysis

• Counting, Probability, and Probability Distributions
• Sampling Distributions
• Estimation and Hypothesis Testing
• Scatter Diagram
• Anova and Chisquare
• Imputation Techniques
• Data Cleaning
• Correlation and Regression

Introduction to Data Analytics

• Data Analytics Overview
• Importance of Data Analytics
• Types of Data Analytics
• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics
• Benefits of Data Analytics
• Data Visualization for Decision Making
• Data Types, Measure Of central tendency, Measures of Dispersion
• Graphical Techniques, Skewness & Kurtosis, Box Plot
• Descriptive Statistics
• Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval

Excel: Basics to Advanced

• Excel tutorial
• Text to Columns
• Concatenate
• The Concatenate Function
• The Right Function with Concatenation
• Absolute Cell References
• Data Validation
• Time and Date Calculations
• Conditional Formatting
• Exploring Styles and Clearing Formatting
• Using Conditional Formatting to Hide Cells
• Using the IF Function
• Changing the “Value if false” Condition to Text
• Pivot Tables
• Creating a Pivot Table
• Specifying PivotTable Data
• Changing a PivotTables Calculation
• Filtering and Sorting a PivotTable
• Creating a PivotChart
• Grouping Items
• Updating a PivotTable
• Formatting a PivotTable
• Using Slicers
• Charts
• Creating a Simple Chart
• Charting Non-Adjacent Cells
• Creating a Chart Using the Chart Wizard
• Modifying Charts
• Moving an Embedded Chart
• Sizing an Embedded Chart
• Changing the Chart Type
• Chart Types
• Changing the Way Data is Displayed
• Moving the Legend
• Formatting Charts
• Adding Chart Items
• Formatting All Text
• Formatting and Aligning Numbers
• Formatting the Plot Area
• Formatting Data Markers
• Pie Charts
• Creating a Pie Chart
• Moving the Pie Chart to its Own Sheet
• Adding Data Labels
• Exploding a Slice of a Pie Chart
• Data Analysis − Overview
• types of Data Analysis
• Data Analysis Process
• Working with Range Names
• Copying Name using Formula Autocomplete
• Range Name Syntax Rules
• Creating Range Names
• Creating Names for Constants
• Managing Names
• Scope of a Name
• Editing Names
• Applying Names
• Using Names in a Formula
• Viewing Names in a Workbook
• Copying Formulas with Names
• Difference between Tables and Ranges
• Create Table
• Table Name
• Managing Names in a Table
• Table Headers replacing Column Letters
• Propagation of a Formula in a Table
• Resize Table
• Remove Duplicates
• Convert to Range
• Table Style Options
• Table Styles
• Cleaning Data with Text Functions
• Removing Unwanted Characters from Text
• Extracting Data Values from Text
• Formatting Data with Text Functions
• Date Formats
• Conditional Formatting
• Sorting
• Filtering
• Lookup Functions
• Pivoting

SQL

• Introduction to MySQL Database
• Retrieve Data using the SQL SELECT Statement
• Learn to Restrict and Sort Data
• Usage of Single-Row Functions to Customize Output
• Invoke Conversion Functions and Conditional Expressions
• Aggregate Data Using the Group Functions
• Display Data from Multiple Tables Using Joins
• Use Sub-Queries to Solve Queries
• The SET Operators
• Data Manipulation Statements
• Use of DDL Statements to Create and Manage Tables
• Other Schema Objects
• Control User Access
• Management of Schema Objects
• Manage Objects with Data Dictionary Views
• Manipulate Large Data Sets
• Data Management in Different Time Zones
• Retrieve Data Using Sub-queries
• Regular Expression Support

Power BI

Introduction to Power BI

• Get Started with Power BI
• Overview: Power BI concepts
• Sign up for Power BI
• Overview: Power BI data sources
• Connect to a SaaS solution
• Upload a local CSV file
• Connect to Excel data that can be refreshed
• Connect to a sample
• Create a Report with Visualizations
• Explore the Power BI portal

Viz and Tiles

• Overview: Visualizations
• Using visualizations
• Create a new report
• Create and arrange visualizations
• Format a visualization
• Create chart visualizations
• Use text, map, and gauge visualizations and save a report
• Use a slicer to filter visualizations
• Sort, copy, and paste visualizations
• Download and use a custom visual from the gallery

Reports and Dashboards

• Modify and Print a Report
• Rename and delete report pages
• Add a filter to a page or report
• Set visualization interactions
• Print a report page
• Send a report to PowerPoint
• Create a Dashboard
• Create and manage dashboards
• Pin a report tile to a dashboard
• Pin a live report page to a dashboard
• Pin a tile from another dashboard
• Pin an Excel element to a dashboard
• Manage pinned elements in Excel
• Add a tile to a dashboard
• Build a dashboard with Quick Insights
• Set a Featured (default) dashboard
• Ask Questions about Your Data
• Ask a question with Power BI Q&A
• Tweak your dataset for Q&A
• Enable Cortana for Power BI

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