Mastering Data Analytics: Proximsoft’s Expert-Led Course

Categories Data Analytics

Start an exciting journey into the world of data analytics with Proximsoft’s Data Analytics program. This well-crafted course, created by experienced industry professionals, goes beyond theory to give participants practical skills essential for effective data analysis. Explore the details of relational databases, SQL, and T-SQL, mastering the skills needed to handle and analyze data. Move smoothly into Tableau and business intelligence, gaining expertise in connecting data, creating visualizations, and building interactive dashboards. The course balances theory with hands-on practice, ensuring participants are well-prepared for success in the constantly evolving field of data analytics.

Why Learn Data Analytics?

  • The demand for data analytics professionals is soaring across industries. Acquiring data analytics skills enhances your career prospects. 
  • Data analytics is crucial for making informed business decisions, enabling organizations to stay competitive in today’s data-driven environment. 
  • Proper data analysis provides valuable insights, enabling companies to optimize operations, identify trends, and make strategic decisions. 
  • Learn to use cutting-edge tools for data visualization and analysis, enhancing your proficiency in transforming raw data into meaningful insights. 
  • Our course includes practical projects, allowing you to apply data analytics techniques to real-world scenarios, guided by industry experts.
Mode of TrainingOnline live Interactive sessions
Duration of the Training6 weeks
Training duration per day 60 – 90 min session
Software AccessSoftware will be installed/server access will be provided, whichever is possible
Training MaterialsSoft copy of the material will be provided during the training 
Training feeDepends on the Requirement
Resume Preparation Yes, at the end of the course based on the JD
Interview PreparationYes, by sharing some FAQ’s
Mock callsYes, 2 Technical Mock calls 
Internship Project Yes
CertificationYes, at the end of the training
JOB Assistance Yes
JOB SupportYes
  
Weekdays6AM -2 PM EST & 6-11:30 PM EST (student can pick any  1 hr)
Weekends8 AM – 12 PM EST (student can pick any 2 hrs)

What I will learn?

  • Foundations of Data Analytics
  • Introduction to SQL and Relational Databases
  • Simplifying Data Queries with T-SQL
  • Data Manipulation and Control Language (DML) in SQL Server
  • Advanced SQL Queries and Calculations
  • Subqueries, Joins, and Unions in SQL Server
  • Inserting, Updating, and Deleting Records
  • Creating and Modifying Tables
  • Views, Stored Procedures, and Triggers in SQL Server
  • Introduction to Tableau and Business Intelligence Concepts
  • Data Connections, Joins, and Blending in Tableau
  • Organizing and Simplifying Data in Tableau
  • Building Various Chart Types in Tableau
  • Advanced Chart Types and Calculations
  • Logic Statements and Formatting in Tableau
  • Maps, Statistics, and Trend Analysis in Tableau
  • Creating Interactive Dashboards in Tableau

Course Content

TRANSACT-SQL
  • RELATIONAL DATABASE BASICS
  • Brief History of SQL
  • What is New in SQL Server 2008
  • SQL Server Editions
  • Relational Databases
  • Creating Database
  • Tables
  • Rows
  • Columns
  • Relationships
  • Data types
  • Primary Keys
  • Foreign Keys
  • Relational Database Management System
  • SQL Server Objects
  • Valid Object References
  • SQL Statements
  • Database Manipulation Language (DML)
  • Database Definition Language (DDL)
  • Database Control Language (DCL)
SIMPLE SELECTS WITH SQL SERVER
  • Introduction to the “Adventure Works DW” Database
  • Some Basics
  • Comments
  • Case Sensitivity
  • SELECTING All Columns in All Rows
  • Union Queries
  • Exploring the Tables
  • Using Group and Having
  • SELECTING Specific Columns
  • Sorting Records
  • Sorting By a Single Column
  • Sorting By Multiple Columns
  • Sorting By Column Position
  • Ascending and Descending Sorts
  • The WHERE Clause and Operator Symbols
  • Checking for Equality
  • Checking for Inequality
  • Checking for Greater or Less Than
  • Checking for NULL
  • WHERE and ORDER BY
  • The WHERE Clause and Operator Words
  • The BETWEEN Operator
  • The IN Operator
  • The LIKE Operator
  • The NOT Operator
  • Checking Multiple Conditions
  • AND
  • OR
  • Order of Evaluation
  • Writing SELECTs with Multiple Conditions
ADVANCED SELECTS WITH SQL SERVER
  • Calculated Fields
  • Concatenation
  • Mathematical Calculations
  • Aliases
  • Aggregate Functions and Grouping
  • Aggregate Functions
  • Grouping Data
  • Where Clause
  • Order By Clause
  • Using Group by and Having
  • Built-in Data Manipulation Functions
  • Common Math Functions
  • Common String Functions
  • Common Date Functions
SUBQUERIES, JOINS, AND UNIONS WITH SQL SERVER
  • Custom Objects and Fields
  • Page Layouts and Record Types
  • Workflow Rules and Process Builder
  • Introduction to Lightning App Builder
Sub queries Joins Table Aliases Multi-table Joins Outer Joins Unions UNION ALL UNION Rules
  • Sub queries
  • Joins
  • Table Aliases
  • Multi-table Joins
  • Outer Joins
  • Unions
  • UNION ALL
  • UNION Rules
INSERTING, UPDATING AND DELETING RECORDS WITH SQL SERVER
  • INSERT
  • UPDATE
  • DELETE
CREATING AND MODIFYING TABLES WITH SQL SERVER
  • Creating Tables
  • Data types
  • Altering Tables
  • Adding a Column
  • Dropping a Column
  • Renaming Tables
  • Dropping Tables
AND STORED PROCEDURES IN SQL SERVER
  • Creating Views
  • Dropping Views
  • Creating Stored Procedures
  • Designing a stored procedure
  • Specifying input parameters
  • Returning a recorded
  • Returning output parameters
  • Testing stored procedures
TRIGGERS
  • Creating DML Triggers
  • Altering DML Triggers
  • Using the Inserted and Deleted Tables
  • Creating DDL Triggers
CONCLUSION . INTRODUCTION to TABLEAU
  • BI Concepts
  • What is TABLEAU? Why Data Visualization?
  • Unique Features compared to Traditional BI Tools
  • TABLEAU Overview & Architecture
  • File Types & Extensions
TABLEAU PRODUCTS
  • DESKTOP
  • SERVER
  • PUBLISHER
  • PUBLIC
  • READER
DATA CONNECTIONS IN TABLEAU INTERFACE
  • Data Connections in the Tableau Interface
  • Connecting to Tableau Data Server
  • Types of Join
  • When to Use Joining
  • What is Data Blending
  • When to Use Data Blending
  • Joining vs. Blending
  • Creating Data Extracts in Tableau
  • Establishing a Connection and Creating an Extract
  • How does Tableau Optimize Performance
  • Shadow Extracts
  • Prepare your Data for Analysis
  • Key Takeaways
  • Quiz
ORGANIZING AND SIMPLIFYING DATA
  • Filters. Applying Filters
  • Quick Filters
  • Sorting of Data
  • Creating Combined Fields
  • Creating Groups and Defining Aliases
  • Working with Sets and Combined Sets
  • Drill to Other Levels in a Hierarchy
  • Grand totals and Subtotals
  • Tableau Bins
  • Fixed Sized Bins
  • Variable Sized Bins
  • Creating and using Parameters
  • Exploring Parameter Controls
  • Using parameters for titles, field selections, logic statements, Top X
  • Cross Tabs [Pivot Tables]
  • Page Trials
  • Total and Sub-Total
  • Dual Axis / Multiple Measures
  • Key Takeaways
  • Quiz
BUILDING CHART TYPES
  • Working with Combined Axis
  • Working with Combination Charts
  • Working with Geocoding and Geographic Mapping
  • Using Scatter Plots
  • Using Text tables and Highlight tables
  • Using Heat Maps
  • Using Histograms
  • Using Pie Charts
  • Using Bullet Charts
ADVANCED CHART TYPES
  • Using Pareto Charts
  • Using Waterfall Charts
  • Using Gantt Charts
  • Using Box Plots
  • Using Sparkline Charts
  • Using Density Charts
  • Using KPI Charts
  • Small Multiples Working with aggregate versus disaggregate data
  • What is Market Basket Analysis
  • Performing Market Basket Analysis
  • Key Takeaways
  • Quiz
CALCULATIONS
  • Working with Strings, Date and Arithmetic Calculations
  • Working with Aggregation Options
  • Working with Quick Table Calculations
  • Custom Calculated Fields
  • Logic and Conditional Calculations
  • Conditional Filters
  • Advanced Table Calculations
  • Understanding Scope and Direction
  • Calculate on Results of Table Calculations
  • Complex Calculations
  • Addressing and Partitioning
  • Difference From Average
  • Discrete Aggregations
  • Index to Ratios
  • Ranking within higher levels
  • Late Filtering
  • Last Occurrence
  • Working with Dates and Times
  • Continuous versus Discrete Dates
  • Dates and Times
  • Reference Dates
  • Automatic and Custom Split
  • LOD Calculations
  • Key Takeaways
  • Quiz
LOGIC STATEMENTS
  • Formatting
  • Options in Formatting Visualizations
  • Working with Labels and Annotations
  • Effective Use of Titles and Captions
  • Introduction to Visual Best Practices
MAPPING
  • Importing and Modifying Custom Geocoding
  • Working with Symbol Map and Filled Map
  • Using Background Image
  • Exploring Geographic Search
  • Perform Pan Zoom Lasso and Radial Selection
  • Working with WMS Server Maps [Web Map Service]
STATISTICS
  • Add Reference Lines Bands and Distribution
  • Adding Reference Lines
  • Adding Reference Bands
  • Adding Reference Distribution
  • Working Reference Lines Bands and Forecasting
  • Trend lines and Trend Models
  • Understanding Trend Lines
  • Enabling Trend lines
  • Click Interaction Understanding Trend Models
  • Working with Describe Trend Model Window
  • Working with Trend Lines
  • Statistical Summary Card
  • Perform Drag and Drop Analytics
  • Explore Instant Analysis
  • Summary Stats
  • Cohort Analysis
  • Forecasting
  • Key Takeaways
  • Quiz
DASHBOARD
  • uild Interactive Dashboards
  • Best practices for creating effective dashboards
  • Creating a Dashboard and Importing Sheets
  • Interaction Exploring Dashboard Actions
  • Use of Running Actions
  • Using Dashboard Actions
  • How to Share your Reports
  • Exporting your Work

FEW MOCK DASHBOARDS PRACTICE

TABLEAU CERTIFICATION TIPS & QA’s

Course level:All Levels
Course Duration: 30h

Requirements

  • Basic understanding of databases and data structures.
  • Familiarity with basic mathematical and statistical concepts.
  • No prior experience with SQL or Tableau required – suitable for beginners.

Talk to Our Career Advisor

    FAQ'S

    Acquiring data analytics skills opens doors to diverse career opportunities, empowering you to make a significant impact in various industries.
    No, our course is designed for beginners. You'll learn SQL, Tableau, and data analytics concepts from the ground up.
    Absolutely! Our program includes practical projects, allowing you to apply data analytics techniques to real-world scenarios under the guidance of industry experts.
    Proximsoft provides job assistance, supporting you in resume building, interview preparation, and connecting you with our extensive network of employers to enhance your job placement prospects.

    Enter your Details to get a Call back