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.
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Rated 4.9 on Google
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Focus on Practical Skills
100% Placement Assistance
Flexible Timings
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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
- 7.1COMPONENTS OF POWER BI: DESKTOP, SERVICE, AND MOBILE APPS
- 7.2BENEFITS AND APPLICATIONS OF POWER BI
- 7.3POWER BI ARCHITECTURE OVERVIEW
- 7.4INSTALLING AND SETTING UP POWER BI DESKTOP
- 7.5CONNECTING TO DATA SOURCES (EXCEL, CSV, ONLINE SERVICES, ETC.)
- 7.6Dashboards Creation
- 7.7CLEANING AND TRANSFORMING DATA
- 7.8HANDLING MISSING DATA SPLITTING AND MERGING COLUMNS
- 7.9DATA FORMATTING AND STANDARDIZATION WORKING WITH RELATIONSHIPS BETWEEN TABLES
- 7.10CREATING CUSTOM COLUMNS AND MEASURES WITH DAX (DATA ANALYSIS EXPRESSIONS)
- 7.11CREATING RELATIONSHIPS BETWEEN TABLES UNDERSTANDING
- 7.12CALCULATED COLUMNS AND MEASURES
- 7.13MANAGING MODEL PERFORMANCE WITH OPTIMIZATION TECHNIQUES
- 7.14CREATING BASIC CHARTS: BAR, LINE, PIE, AND COLUMN CHARTS
- 7.15ADVANCED VISUALS: SCATTER PLOTS, MAPS, FUNNEL CHARTS, & GAUGES USING SLICERS, FILTERS, & DRILL-THROUGHS.
- 7.16CREATING AND CUSTOMIZING DASHBOARDS FORMATTING AND STYLING REPORTS FOR BETTER USER EXPERIENCE USING POWER BI MARKETPLACE FOR CUSTOM VISUALS
- 7.17DAX (DATA ANALYSIS EXPRESSIONS)
- 7.18CALCULATED COLUMNS AND MEASURES
- 7.19AGGREGATION FUNCTIONS (SUM, AVERAGE, COUNT)
- 7.20TIME INTELLIGENCE FUNCTIONS (YTD, MTD, QTD)
- 7.21PUBLISHING AND SHARING
- 7.22PUBLISHING REPORTS TO POWER BI SERVICE
- 7.23CREATING DASHBOARDS IN POWER BI SERVICE
- 7.24SHARING REPORTS AND DASHBOARDS WITH OTHERS
- 7.25EXPORTING REPORTS TO PDF
- 7.26POWER BI FOR BUSINESS USE CASES
- 7.27SALES ANALYSIS
- 7.28FINANCIAL REPORTING
- 7.29CONNECTING POWER BI DESKTOP WITH MOBILE FOR REAL TIME ANALYSIS
- 7.30CASE STUDIES AND LIVE PROJECTS
- 7.31RETAIL ANALYSIS DASHBOARDS
- 7.32TELECOM CHURN RATE DASHBOARD
- 7.33OLA COMPANY DASHBOARD
- 7.34BLINKIT ANALYSIS DASHBOARD
- Database design with SQL23
- 8.1INTRODUCTION
- 8.2WHAT IS A DATA WAREHOUSE ?
- 8.3STAR SCHEMA
- 8.4PROJECT MANAGEMENT DASHBOARD IN EXCEL
- 8.5OLAP VS. OLTP
- 8.6SETL
- 8.7ENTITY CONSTRAINTS
- 8.8DDL AND DML STATEMENTS
- 8.9SQL STATEMENTS AND OPERATORS
- 8.10AGGREGATE FUNCTIONS
- 8.11ORDERING
- 8.12STRING AND DATE-TIME FUNCTIONS
- 8.13REGULAR EXPRESSIONS
- 8.14NESTED QUERIES
- 8.15CTES
- 8.16VIEWS
- 8.17SET THEORY
- 8.18TYPES OF JOINS
- 8.19TYPES OF JOINS: A DEMONSTRATION
- 8.20OUTER JOINS: A DEMONSTRATION
- 8.21VIEWS WITH JOINS
- 8.22SET OPERATIONS WITH SQL
- 8.23ASSIGNMENT & CASE STUDY
Yash Jain

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