Advanced Diploma in Data Analyst & Business Analytic Course
Advance your expertise with our Advanced Data Analyst & Business Analytics Course, designed for professionals seeking to deepen their skills in data analysis and business intelligence. Offered by our prestigious academy, this course delves into advanced techniques in data visualization, predictive analytics, and strategic decision-making. Our institute’s classes feature complex case studies, hands-on projects, and expert coaching to ensure you gain a thorough understanding of sophisticated analytical tools and methodologies. Whether you’re aiming to lead data-driven projects or enhance your role in business analytics, our training institute provides the comprehensive education you need. Enroll in our Advanced Data Analyst & Business Analytics course today and unlock new opportunities in the analytics field.
Advanced Diploma in Data Analyst & Business Analytic Course Module
- Introduction to Data Science
- Evolution of Data Science
- Big Data Vs. Data Science
- Data Science Terminologies
- Data Science Vs. AI/Machine Learning
- Data Science Vs. Analytics
- What Is ML? ML Vs. AI
- ML Workflow, Popular ML Algorithms
- Clustering, Classification And Regression
- Supervised vs. unsupervised
- Data Science in Finance and Banking
- Data Science in Retail
- Data Science in Health Care
- Data Science in Logistics and Supply Chain
- Data Science in Technology Industry
- Data Science in Manufacturing
- Data Science in Agriculture
Introduction to Excel
- How is excel important to business
- Understanding the excel interface
- Insertion and Deletion in excel
- Basic Formatting in excel
- Data types in excel
- Applying the sort Function
- Applying the filter Function
- Applying the Advanced Filter Function
- Uses of Short Functions to Analysis the Data
- Using The Upper, Lower and Proper Functions
- Using The Right, Left And Search Functions
- Using the Trim, Concat and Len Functions
- Using the MIN, MAX, AVERAGE functions
- Finding the Standard Deviations
- Find the Percentiles of data
- Finding the outliers present in data
- Arry functions
- Using the If Functions
- Using the IF ERROR Function
- Applying the COUNTIF Function
- Applying the SUMIF Function
- Applying the AVERAGEIF function
- Using Colobars for Formatting
- Using Color Scale for Data Formation
- Lookup Functions
- Applying VLOOKUP Function
- Applying HLOOKUP Function
- Applying XLOOKUP Function
- Why to use index And Match
- Applying Index and match
- Making Pivot tables
- Making Pivot Charts
- What If Analysis
- Goal Seek Analysis
- Data Tables Scenario Management
- Understanding Regression
- Performing Liner Regression
- Understanding Excel macros
- Activating the Developer tab in excel
- Creating your First Macro
- File Types and Savings
- Running a macro Using keyboard shortcuts
- Running macros Using Buttons
- Navigating the Visual Basic Editor
- VBA Projects
- Excel’s VBA Object Model
- Where Do I put my Code?
- Understanding Code: Macro Process
- Editing & Deleting the Macros
- Training On Charts
- Bubble Charts
- Pyramid Chart
- Surface Chart
- Treemap Charts
- Donut Charts
- Data Cleaning
- Data Sorting
- Data Visualization
- Date time function
- Draw a symbol and insert a picture
- Emi calculation
- Page setup
- Array function
- Formatting cell and workbook
7 days Advance V-LOOKUP Formulas
- Day 1 - fetch data using V-Lookup
- Day 2 – fetch data with using approx. match
- Day 3 – add column by fetching ATA from another sheet
- Day 4- reverse V-lookup
- Day 5- ranking lookup
- Day 6- dynamic V-lookup using match formula
- Day 7- double V-lookup
- Basics Of Data Visualizations
- Making Charts In Excel
- Making Dashboards
- Adding Slicers in dashboards
- Formatting Dashboards
- Phases of Data Analytics Projects
- Text Functions Used for Data Analysis
- Lookup Functions Used for Data Analysis
- Data Validation
- Conditional Formatting using for Data Visualization
- How to use Pivot tables for creating
Analysis report
- Joint & Split of a Number
- What is dashboard
- How to create interactive Dashboard using Excel
- Why dashboard is important for data visualization
- Different projects for data Visualization.
- Business & Sales Dashboard Analysis
- Financial Dashboards
- Management & Operations Dashboard
- Executive Dashboard
- Marketing Dashboards
- HR Dashboard Analysis
- How to share insights with clients
- How to Mail a query with Dashboard
Project Task tracker Dashboard In Excel
- Understanding Raw Data
- Cleaning Dataset
- Creating Pivot Charts
- Looking Up Data Using Index match
- Adding Slicers
- Introduction of Python
- OOP Concepts
- Programming Style
- Core python concepts
- Conditional Statements
- If, If- else, Nested if-else
- Looping, For, While, Nested loops
- Control Statements, Break, Continue, Pass
- String Manipulation
- Accessing Strings
- Basic Operations
- String slices
- Function and Methods
- Calling a function
- Types of functions
- Function Arguments
- Anonymous functions
- Class
- Object
- Attributes
- Inheritance
- Overloading
- Overriding
- Data Hiding
- Input & Output
- Exception Handling
- Python Pandas
- Pandas Introduction
- Pandas Getting Started
- Series
- Data Frames
- Read CSV
- Read JSON
- Analyzing Data
- Cleaning Data
- Cleaning Empty Cells
- Cleaning Wrong Format
- Cleaning Wrong Data
- Removing Duplicates
- Pandas Correlations
- Matplotlib Introduction
- Pyplot
- Plotting
- Markers
- Line
- Labels
- Grid
- Subplot
- Scatter
- Bars
- Histograms
- Pie Charts
- Get Started
- Create Database
- Create Table
- MYSQL Insert
- MYSQL Select
- MYSQL Where
- MYSQL Order By & DESC
- MYSQL Delete
- MYSQL Update
- MYSQL Limit
- MYSQL Join
- MongoDB Get Started
- MongoDB Create DB
- MongoDB Collection
- MongoDB Insert
- MongoDB Find
- MongoDB Query
- MongoDB Sort
- MongoDB Delete
- MongoDB Drop Collection
- MongoDB Update
- MongoDB Limit
- R Get Started
- R Syntax
- R Comments
- R Variables
- R Data Types
- R Numbers
- R Math
- R Strings
- R Booleans
- R Operators
- R If...Else
- R While Loop
- R For Loop
- R Functions
- R Data Structures
- R Vectors
- R Lists
- R Matrices
- R Arrays
- R Data Frames
- R Factors
- R Graphics
- R Plot
- R Line
- R Scatterplot
- R Pie Charts
- R Bars
- R Statistics
- R Statistics Intro
- R Data Set
- R Max and Min
- R Mean Median Mode
- R Percentiles
- Introduction to Google Looker Studio
- Overview of data sources (Google Sheets, MySQL, etc.)
- Connecting to different data sources in Looker Studio
- Data visualization using Using charts, tables, and scorecards
- Designing Dashboards
- Ensuring accessibility and readability
- Managing access and permissions
- Case Study 1: E-commerce Sales Analysis
- Case Study 2: Marketing Campaign Performance
- Case Study 3: YouTube Channel Report
Introduction to Google Analytics
- Overview of Google Analytics
- Key Concepts and Terminology
- Setting Up Google Analytics for Your Business
- Understanding the Interface
Setting Up Google Analytics
- Creating and Configuring a Google Analytics Account
- Implementing Google Analytics Tracking Code
- Setting Up Goals and Funnels
- Linking Google Analytics with Other Google Tools (Google Ads, Search Console)
Understanding Key Metrics and Reports
- Understanding User Behavior and Acquisition Metrics
- Analyzing Audience Reports (Demographics, Interests, Geo, Technology)
- Traffic Sources and Campaign Performance
- Behavior Reports (Site Content, Landing Pages, Site Speed)
- Real-Time Analytics
Introduction to Google Search Console
- Overview of Google Search Console
- Key Concepts and Terminology
- Setting Up Google Search Console for Your Website
- Understanding the GSC Interface and Navigation
Verifying Website Ownership
- Methods for Verifying Your Website in Google Search Console
- Managing Multiple Properties
- Setting User Permissions and Access Levels
- Linking GSC with Other Google Tools (Google Analytics, Google Ads)
Performance Reports
- Understanding the Search Performance Report
- Analyzing Search Queries, Clicks, Impressions, and CTR
- Identifying Top Pages, Countries, and Devices
- Using GSC for Keyword Research and SEO Strategy
Index Coverage and Crawl Reports
- Understanding Index Coverage Status
- Analyzing Errors, Warnings, and Valid Pages
- Troubleshooting Indexing Issues
- Submitting and Managing Sitemaps
- Analyzing the Crawl Stats Report
URL Inspection and Troubleshooting
- Using the URL Inspection Tool for On-Page SEO
- Understanding the Indexing Status of Individual Pages
- Troubleshooting Common Indexing Problems
- Requesting URL Reindexing
- Utilizing Mobile Usability Reports for Mobile SEO
Security and Manual Actions
- Understanding Security Issues Report
- Identifying and Resolving Security Threats (Malware, Hacking)
- Overview of Manual Actions and Penalties
- Recovering from Manual Actions
- Best Practices for Maintaining a Secure Website
Link Reports and External Links Analysis
- Understanding the Links Report in GSC
- Analyzing Internal and External Links
- Identifying and Managing Toxic Backlinks
- Using Link Data for Building SEO Strategies
- Monitoring and Improving Link Profile Health
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