Business Analytics
In today’s digital age, businesses are generating massive amounts of data. From customer data to sales figures, companies are collecting and storing vast amounts of information. However, without the proper tools and expertise, this data is meaningless. Altogether, to gain insights and make informed business decisions, companies turn to business analytics. Basically, it involves the utilization of data and statistical analysis for this purpose. Later, we will discuss the benefits of business analytics and the available training options to become an expert in this field.
Benefits of Business Analytics
- Improved Decision Making: By using data analytics tools, businesses can identify patterns and trends that can inform their decision-making process. For example, analyzing customer data can help companies understand their customers’ preferences and tailor their products and services accordingly.
- Increased Efficiency: By analyzing supply chain data, companies can identify areas to reduce costs and improve efficiency, unquestionably optimizing their operations and reducing waste. Hence, this approach enables businesses to take proactive measures to increase profitability and improve their bottom line.
- Competitive Advantage: By leveraging business analytics, companies can gain a competitive advantage over their rivals. Specifically, by using data to inform their strategies, these companies are better equipped to meet the needs of their customers and stay ahead of the curve.
- Better Risk Management: By analyzing data, companies can identify potential risks and take steps to mitigate them. Undoubtedly helping businesses avoid costly mistakes and protect their reputation.
Business Analytics Training
For those interested in pursuing a career in business analytics, there are numerous training opportunities available. Although, to begin, data analytics courses and statistical analytics courses provide an excellent starting point. These courses offer fundamental training in data analysis and equip you with the knowledge to use statistical tools for gaining insights.
In addition to these courses, there are also classes for business analytics that focus on the practical application of these skills. These classes often use real-world examples to help students gain practical insights and experience.
Conclusion
It is a critical tool for any company looking to succeed in today’s data-driven world. By using data and statistical analysis, businesses can gain insights that inform their decision-making processes and give them a competitive edge. If you’re interested in pursuing a career in this field, there are plenty of training opportunities available. Data analytics courses, statistical analytics courses, and classes for business analytics are all great places to start. With the right training and expertise, you can become a valuable asset to any organization.
Have a look at our other courses:
- Diploma in Web Designing
- Diploma in UI | UX Designing
- Advance Digital Marketing
- Advance Excel
- Diploma in Full Stack Development
Contact us at +91 98257 71678
Curriculum
- 8 Sections
- 117 Lessons
- 10 Weeks
- Advance Excel39
- 1.1Quick review on MS Excel Options, Ribbon, Sheets
- 1.2Saving Excel File as PDF, CSV and Older versions
- 1.3Using Excel Shortcuts with Full List of Shortcuts
- 1.4Copy, Cut, Paste, Hide, Unhide, and Link the Data in Rows, Columns and Sheet
- 1.5Using Paste Special Options
- 1.6Formatting Cells, Rows, Columns and Sheets
- 1.7Advanced Filtering in Excel
- 1.8Grouping & Subtotal in Excel
- 1.9Protecting & Unprotecting Cells, Rows, Columns and Sheets with or without Password
- 1.10Page Layout and Printer Properties
- 1.11Working with Formulas / function
- 1.12Lookup and Reference Functions: VLOOKUP, HLOOKUP, INDEX, MATCH, etc
- 1.13Logical Function: IF / ELSE, AND, OR, NOT, TRUE, NESTED IF/ELSE etc
- 1.14Database Functions
- 1.15Date & Time Functions: DATE, DATEVALUE, DAY, DAY360, SECOND, MINUTES, HOURS, NOW, TODAY, MONTH, YEAR, YEARFRAC, TIME, WEEKDAY, WORKDAY
- 1.16Information Functions
- 1.17Math & Trigonometry Functions: RAND, ROUND, CEILING, FLOOR, INT, LCM, EVEN, SUMIF
- 1.18Statistical Functions: AVEDEV, AVERAGE, AVERAGEA, AVERAGEIF, COUNT, COUNTA, COUNTBLANK,COUNTIF, MAX, MAXA,MIN, MINA, STDEVA
- 1.19Text Functions: LEFT, RIGHT, TEXT, TRIM, MID, LOWER, UPPER, PROPER, REPLACE, REPT, FIND, SEARCH, SUBSTITUTE, TRIM, TRUNC, CONVERT, CONCATENATE.
- 1.20Conditional Formatting
- 1.21Using Conditional Formatting
- 1.22Using Conditional Formatting with Multiple Cell Rules
- 1.23Using Color Scales and Icon Sets in Conditional Formatting
- 1.24Creating New Rules and Managing Existing Rules
- 1.25Data Lock & Protection
- 1.26Advance Charts in Excel
- 1.27Area Charts and Surface Charts
- 1.28Trend line Charts and Candle Stick
- 1.29Charts and Pie Charts
- 1.30XY (Scatter Charts)
- 1.31Time Series Charts and Bubble Charts
- 1.32Radar Charts and Doughnut Charts
- 1.33Rotating 3D Excel Charts
- 1.34Working with Fill Series & Go to Special
- 1.35Consolidation in Excel
- 1.36What if Analysis in Excel
- 1.37-Goal Seek
- 1.38-Scenario Manager
- 1.39-Data Table
- AI Automation with Excel6
- Regression Analysis in Excel5
- 3.1To Measure the Effectiveness of the Marketing Campaigns, Pricing, And Promotions On Sales Of A Product
- 3.2Used To Analyse Categorical Data
- 3.3Commonly Used In Understanding Customer Behaviour
- 3.4To Understand the Relationship between a Company’s Stock Price & The Company’s Quarterly Earnings
- 3.5Credit Risk Assessment
- Working With Forecasting5
- Solving Complex Data Using The Power Query In Excel0
- Professional Dashboards In Excel5
- Microsoft Power BI34
- 10.2COMPONENTS OF POWER BI: DESKTOP, SERVICE, AND MOBILE APPS
- 10.3BENEFITS AND APPLICATIONS OF POWER BI
- 10.4POWER BI ARCHITECTURE OVERVIEW
- 10.5INSTALLING AND SETTING UP POWER BI DESKTOP
- 10.6CONNECTING TO DATA SOURCES (EXCEL, CSV, ONLINE SERVICES, ETC.)
- 10.7Dashboards Creation
- 10.8CLEANING AND TRANSFORMING DATA
- 10.9HANDLING MISSING DATA SPLITTING AND MERGING COLUMNS
- 10.10DATA FORMATTING AND STANDARDIZATION WORKING WITH RELATIONSHIPS BETWEEN TABLES
- 10.11CREATING CUSTOM COLUMNS AND MEASURES WITH DAX (DATA ANALYSIS EXPRESSIONS)
- 10.12CREATING RELATIONSHIPS BETWEEN TABLES UNDERSTANDING
- 10.13CALCULATED COLUMNS AND MEASURES
- 10.14MANAGING MODEL PERFORMANCE WITH OPTIMIZATION TECHNIQUES
- 10.15CREATING BASIC CHARTS: BAR, LINE, PIE, AND COLUMN CHARTS
- 10.16ADVANCED VISUALS: SCATTER PLOTS, MAPS, FUNNEL CHARTS, & GAUGES USING SLICERS, FILTERS, & DRILL-THROUGHS.
- 10.17CREATING AND CUSTOMIZING DASHBOARDS FORMATTING AND STYLING REPORTS FOR BETTER USER EXPERIENCE USING POWER BI MARKETPLACE FOR CUSTOM VISUALS
- 10.18DAX (DATA ANALYSIS EXPRESSIONS)
- 10.19CALCULATED COLUMNS AND MEASURES
- 10.20AGGREGATION FUNCTIONS (SUM, AVERAGE, COUNT)
- 10.21TIME INTELLIGENCE FUNCTIONS (YTD, MTD, QTD)
- 10.22PUBLISHING AND SHARING
- 10.23PUBLISHING REPORTS TO POWER BI SERVICE
- 10.24CREATING DASHBOARDS IN POWER BI SERVICE
- 10.25SHARING REPORTS AND DASHBOARDS WITH OTHERS
- 10.26EXPORTING REPORTS TO PDF
- 10.27POWER BI FOR BUSINESS USE CASES
- 10.28SALES ANALYSIS
- 10.29FINANCIAL REPORTING
- 10.30CONNECTING POWER BI DESKTOP WITH MOBILE FOR REAL TIME ANALYSIS
- 10.31CASE STUDIES AND LIVE PROJECTS
- 10.32RETAIL ANALYSIS DASHBOARDS
- 10.33TELECOM CHURN RATE DASHBOARD
- 10.34OLA COMPANY DASHBOARD
- 10.35BLINKIT ANALYSIS DASHBOARD
- Database design with SQL23
- 11.2INTRODUCTION
- 11.3WHAT IS A DATA WAREHOUSE ?
- 11.4STAR SCHEMA
- 11.5PROJECT MANAGEMENT DASHBOARD IN EXCEL
- 11.6OLAP VS. OLTP
- 11.7SETL
- 11.8ENTITY CONSTRAINTS
- 11.9DDL AND DML STATEMENTS
- 11.10SQL STATEMENTS AND OPERATORS
- 11.11AGGREGATE FUNCTIONS
- 11.12ORDERING
- 11.13STRING AND DATE-TIME FUNCTIONS
- 11.14REGULAR EXPRESSIONS
- 11.15NESTED QUERIES
- 11.16CTES
- 11.17VIEWS
- 11.18SET THEORY
- 11.19TYPES OF JOINS
- 11.20TYPES OF JOINS: A DEMONSTRATION
- 11.21OUTER JOINS: A DEMONSTRATION
- 11.22VIEWS WITH JOINS
- 11.23SET OPERATIONS WITH SQL
- 11.24ASSIGNMENT & CASE STUDY
Yash Jain

You might be interested in
-
All levels
-
All levels
-
All levels
-
All levels
Sign up to receive our latest updates
Quick Links
- Contact Us
- About Us
- Privacy Policy
- Terms & Conditions