AWS Cloud Data Analytics Course with 100% Placement Support

AWS & Cloud Basics for Data Analysts Course

AWS Cloud Data
Analytics Course

SAP HR-HCM Course in Delhi

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AWS Cloud Data Analytics Certification

AWS Cloud Data Analytics

Validate your foundational cloud expertise with a globally recognized AWS certification, proving your ability to manage high-scale data infrastructure.

Experienced Faculty

Learn from elite MNC working professionals, including IIT, NIT, and IIM alumni, with over 15 years of cloud expertise.

Placement Assistance

Benefit from 100% placement assistance, mock interviews, and direct referrals to top MNCs through our active network of 3,000+ hiring partners.

LAB Facility

Gain real-world experience in our high-tech labs, featuring unlimited hours for hands-on practice with live AWS Management Console projects.

AWS Cloud Data Analytics Workshop Sessions

Engage in live, project-led workshops covering cloud migration, serverless data pipelines, and real-time analytics to solve complex business challenges.

Admin Support

SLA’s 7 days working admin team co-ordinates you for the fresh batch schedule/re-scheduling classes/arrange doubt classes.

In today’s data-driven economy, the ability to analyze information is only half the battle; knowing where that data lives and how to harness it at scale is what sets elite analysts apart. As businesses migrate away from local servers toward scalable infrastructure, professional fluency in the cloud has become a non-negotiable requirement. At SLA Consultants Delhi, our AWS Cloud Data Analytics course is specifically designed to bridge the gap between traditional data analysis and modern cloud architecture. This module transforms you from a desktop-bound analyst into a cloud-native professional capable of handling massive datasets with speed and security.

Why Cloud Literacy is the New Standard?

The shift to the cloud isn’t just a technical trend—it’s a business revolution. Understanding the “Big Three” cloud providers, with a primary focus on Amazon Web Services (AWS), allows analysts to automate workflows, reduce processing times, and access advanced machine learning tools that local hardware simply cannot support. Our AWS Cloud Data Analytics training focuses on the core pillars that every data professional must master:

Scalability & Elasticity: Learn how the cloud expands to meet data demands, ensuring your analysis never stalls due to hardware limitations.
Storage Solutions (S3 & Redshift): Master the art of navigating “Data Lakes” and “Data Warehouses” to retrieve and organize information efficiently.
Security & Compliance: Understand the Shared Responsibility Model to ensure data integrity and privacy in a global environment.
Cost Optimization: Learn to speak the language of stakeholders by managing cloud resources effectively to maximize ROI.

Empowering the Proactive Analyst

By integrating cloud fundamentals into your toolkit, you move Beyond the Dashboard. You gain the technical “AI-Resistant” skills—such as architectural intuition and complex problem-solving—that allow you to build resilient data pipelines. Whether you are looking to pivot into Data Engineering or simply want to future-proof your current role, this training provides the strategic mindset needed to align data initiatives with long-term corporate goals.

The AWS Cloud Data Analytics course at SLA Consultants India is a comprehensive gateway for data professionals looking to transition from traditional local environments to the power of the cloud. This program is meticulously structured to provide a deep dive into the Amazon Web Services (AWS) ecosystem, focusing specifically on the tools that empower data analysts to manage, process, and visualize data at an enterprise scale. In this AWS Cloud Data Analytics training, you will move beyond theoretical concepts and dive into hands-on labs. From setting up your first Virtual Private Cloud (VPC) to orchestrating complex data workflows using AWS Glue and Redshift, this course ensures you gain the practical experience required to manage a modern data stack.

Core Learning Path & Modules

Our curriculum is divided into high-impact modules that align with industry requirements:

Cloud Foundations: Understand IaaS, PaaS, and SaaS models, along with the AWS Global Infrastructure (Regions and Availability Zones).
AWS Compute & Storage: Master Amazon EC2 for scalable computing and Amazon S3 for building durable data lakes.
Data Warehousing & Databases: Gain expertise in Amazon Redshift for high-performance OLAP and Amazon RDS for relational data management.
Serverless Analytics: Use AWS Glue to discover, prepare, and combine data for analytics and machine learning.
Cloud Security & Governance: Implement the “Least Privilege” principle using AWS IAM (Identity and Access Management) to secure sensitive business data.

Who Should Attend?

This course is specifically curated for:

Data Analysts & BI Professionals wanting to scale their reporting capabilities.
Aspiring Data Engineers looking for a solid foundation in cloud infrastructure.
Business Analysts who need to understand cloud costs and strategic data alignment.
IT Graduates seeking a high-growth career path in the AWS ecosystem.

In the modern corporate landscape, data is no longer stored on single hard drives—it lives in the cloud. For a Data Analyst, staying relevant means moving beyond Excel and local SQL databases. Enrolling in an AWS Cloud Data Analytics course is the most significant step you can take to future-proof your career and unlock high-salary opportunities. Here is why mastering the cloud is essential for today’s data professionals:

1. High Demand & “AI-Resistant” Job Security

As companies migrate to the cloud, they are no longer looking for “just” analysts; they are looking for Cloud-Fluent Analysts. By completing AWS Cloud Data Analytics training, you acquire technical skills that AI cannot easily replace—such as designing secure data architectures and managing complex cloud ecosystems.

2. Handle Big Data with Ease

Traditional tools often crash when dealing with millions of rows of data. AWS provides near-infinite storage and processing power. Learning the cloud allows you to:

Process massive datasets in seconds using Amazon Redshift.
Run complex queries on unstructured data with Amazon Athena.
Automate repetitive data cleaning tasks, freeing up your time for high-level strategy.

3. Cost-Efficiency & Strategic Value

Modern businesses value analysts who understand the “bottom line.” AWS knowledge allows you to optimize cloud spending—identifying the most cost-effective ways to store and analyze data. This aligns your work with ROI and long-term corporate goals, making you a strategic asset rather than just a technical resource.

4. Seamless Integration with Modern BI Tools

Most modern Business Intelligence tools (like Tableau, Power BI, and QuickSight) are built to plug directly into AWS. Understanding the backend infrastructure allows you to troubleshoot data pipeline issues, ensure data refreshed in real-time, and deliver more reliable dashboards to stakeholders.

The AWS Cloud Data Analytics course at SLA Consultants India is a specialized program tailored for data professionals. It covers essential cloud architecture, including EC2 for computing, S3 for storage, and Amazon Redshift for data warehousing. Students gain hands-on experience with real-time projects, focusing on automation, security, and cost optimization.

Course Duration: 70-90 HRS with Highly Skilled Corporate Trainers

AWS Cloud Data Analytics for Modules–Weekdays/Weekend

SLA Consultants Delhi – AWS Cloud Data Analytics Training Delivery Method:

Web / Desktop Base.
Instructor-Led Classroom Sessions.
Presentations/Demonstration/Practicals of concepts.
Handouts/Assignments/Real-time Exposure to work on Clients.

NOTE: Classes are also Available on Module Basis

Advanced AWS Cloud Data Analytics Certification

Module-1 Basic & Advanced Excel with Live Projects

Purpose: Real-world datasets are messy. Learn to clean, transform, and prepare data efficiently.

Module 1: Advanced Data Handling & Cleaning

Topics Covered

Data Cleaning Techniques
Data Protection Techniques
Removing Duplicates, Blanks, and Errors
Text-to-Columns and Flash Fill (AI Functionality in Excel)

Industry Functions

Text & String Functions: TRIM, CLEAN, SUBSTITUTE, TEXT, LEFT, RIGHT, MID, LEN
Case Formatting Functions: UPPER, LOWER, PROPER
Search & Replace Functions: FIND, SEARCH, REPLACE, VALUE, TEXTJOIN
Error & Logical Validation Functions: IFERROR, ISNUMBER, ISTEXT, ISBLANK
Date & Time Functions: DATEDIF, EDATE, EOMONTH, NOW, TODAY, DAY, MONTH, YEAR, HOUR, MINUTE, SECOND

Additional Concepts

Using Data Validation for Input Control
Dynamic Data Validation

Module 2: Advanced Formulas & Logical Functions

Purpose: Build dynamic, decision-based reports and formulas used across corporate functions.

Industry Functions

IF, IFS, SWITCH
AND, OR, NOT
CHOOSE, INDEX, MATCH, XLOOKUP
OFFSET, INDIRECT
Dynamic Array Functions: FILTER, SORT, UNIQUE, SEQUENCE
Nested IF and Multi-Condition Formulas

Module 3A: Data Analysis & Business Metrics

Purpose: Learn to analyze, summarize, and interpret business data effectively.

Topics Covered

Understanding and Creating KPIs
Summarizing Large Datasets

Industry Functions

SUMIFS, COUNTIFS, AVERAGEIFS
SUBTOTAL, AGGREGATE
LARGE, SMALL, RANK
ROUND, ROUNDUP, ROUNDDOWN

Module 4: Advanced Lookup & Reference

Purpose: Master data linking across sheets and files — essential for analytics and reporting.

Topics Covered

VLOOKUP vs XLOOKUP (with practical applications)
Dynamic Range Referencing using INDEX-MATCH
Cross-Workbook Linking and Handling Broken Links

Module 5: Data Visualization & Dashboards

Purpose: Learn how professionals visualize and communicate insights effectively.

Topics Covered

Chart Design Best Practices
Dynamic Charts with Form Controls
Combo Charts, Sparklines, Conditional Formatting
KPI Indicators (Traffic Lights, Data Bars, Icons)
What-If Analysis for Business Scenario Testing

Module 6: Pivot Tables & Pivot Charts

Purpose: Master Excel’s most powerful tool for data summarization and analysis.

Topics Covered

Creating and Customizing PivotTables
Calculated Fields and Items
Grouping by Date, Month, and Quarter
Using Slicers and Timelines
Creating Hundreds of Pivot Tables in Seconds
Making Complex Pivot Tables Neat and Insightful

Module 7: Power Tools in Excel (for Analysts)

Purpose: Use Excel’s advanced BI tools for large-scale analytics and automation.

Topics Covered

Power Query (Merge, Append, Clean Data)
Power Pivot (Data Models, KPIs, Measures)
Connecting Excel with External Data Sources (CSV, SQL)
Introduction to RDBMS, Primary & Foreign Keys
Building Table Relationships and Data Modelling

Module 8: Professional Efficiency & Productivity

Purpose: Work faster, smarter, and more accurately.

Topics Covered

Advanced Shortcuts for Data Analysts
Named Ranges, Dynamic Arrays
Workbook Linking, Auditing, and Error Tracing
Formula Debugging and Error Checking
Version Control, Backup, and Template Creation

Module 9: Excel Integration & Productivity

Purpose: Integrate Excel with modern tools and leverage automation and AI.

Topics Covered

Excel with Google Sheets (Cloud Collaboration)
ChatGPT + Excel (AI-Assisted Formula Writing)
Excel with SQL (Data Import & Export)
Learning Techniques for Excel Shortcuts
Universal vs Non-Universal Shortcuts

Module 10: Advanced Dashboard Development

Purpose: Build professional, interactive dashboards.

Topics Covered

Creating Different Types of Charts
Designing Advanced Dashboards Using Summarized Data
Dynamic Dashboards with Form Controls

Assignments & Live Projects

Hands-On Practice

Module-2-VBA Macros – Excel Automation

Introduction

Flowcharts
Step-by-Step Instructions
Process Flow Diagrams
KPIs
Algorithms

VBA/Macros Basics to Advanced

Subs, Functions, Variables, Arrays, Loops, Logic,Arrays etc

Excel Macro Language Review (VBA) Including Variables, Data Types, Constants, Arrays, Operators, Expressions, Loops, Logic Decisions and Calling
Overview Of Commanding Excel Using VBA Including
A Discussion Of Objects, Properties and Method
The Power of Macros – What, When, How to use Macros.

Introduction to Object Oriented Concepts

Objects, Its Functions, Methods and Properties Introduction to Events
Details of Events, How & When to use of Events, Preparing to ‘Macro’ Visual Basic Editor (VBE) –Developer Tab, Security
Introduction to the VBE, Properties window, Project Explorer, Password Protection of Code How to use the VBE – Features, Options, Intelligence Technology
Debugging Mode, Bookmarks, Breakpoints, Watch Window, Immediate Window and Locals Window Inbuilt VBE Help Feature – Tips and Tricks
Form Controls vs. ActiveX Controls
Getting into the Code
Message Box and Input Box Working with Data in Excel through VBA

Data Types

Constants and Variables
Different type of data type; How and When to use Variables to Store Information.

Loops

For-Next, For-Each, Do-While, Do until, Do Loop Decision-Making and Code Branching
If-Then-Else,
Select-Case
And
Nested Conditions
What is user’s Defined Functions?
How to create & use them

Arrays

Use of Arrays in VBA programming with one dimensional, two dimensional or multi-dimensional analysis

Excel VBA Power Programming For VBA Macros

Working with Dynamic Ranges. Protecting Worksheets, Cells and Ranges. Working with Multiple Files. Opening & Saving Files
How to Analyze Data On Multi Worksheets And Build Summary Sheets
How to Access The Windows File And Folder System To Open And Close Workbooks
How to Protect Your Code Against Errors
How to Use Excel And VBA To Create Basic Dash Boards
How to Create Your Own Custom Business Worksheet Functions In VBA
How to Create Basic Report Generation Tools Using Excel VBA, Microsoft Word And PowerPoint
How to Use The Excel Visual Basic Macro Recorder To Record Excel Tasks In VBA And Then Interpret The Code

Overview of User forms To Create Business Wizards

Working with User Forms & User Forms Events like List box, Combo box, Option Buttons, Check box, Text box, Labels, Command button, Toggle button.
How to create dynamic dashboard on user form with different controls
How to link various user form with each other to create a complete interface between user and system

Connection between Excel VBA & other platforms

How to Establish Connection Between VBA and Internet Explorer to Open any Internet Website through VBA
How to Establish Connection Between Excel VBA and power presentation to create power point through VBA
How to Establish Connection Between Excel VBA and Access database to update the data in access through VBA
How to Establish Connection Between Excel VBA and MS Word through VBA

Testing and Debugging Your Code

Types of Errors
Using Breakpoints
Debugging Techniques

Dialogue Boxes

UsingMsgBox Function
UsingInput Box Function
Working with FileDialog
Working GetOpenFile name Method
Working GetSaveAsFilename Method

Effective Error Handling

ChatGPT AI for Excel and VBA

Live Project on VBA Macros

Module 3 - MS-Access and SQL Programme Modules

Module 1: Introduction To Databases & SQL

What Is A Database?
Types Of Databases (Relational, Non-Relational)
What Is SQL? SQL Command Categories (DDL, DML, DCL, TCL)

Module 2: Database & Table Creation

Creating Databases // Creating Tables
Data Types In SQL
Keys & Constraints: Primary Key, Foreign Key, NOT NULL, UNIQUE, CHECK, DEFAULT

Module 3: Insert, Update & Delete

INSERT Statements
UPDATE Statements
DELETE Statements

Module 4: Basic Data Retrieval

SELECT Statements
Selecting Specific Columns
Aliases (AS)
DISTINCT Keyword

Module 5: Filtering Data

WHERE Clause
Comparison Operators
Logical Operators (AND, OR, NOT)
LIKE Pattern Matching
IN, BETWEEN, IS NULL

Module 6:Sorting & Limiting

ORDER BY
Sorting By Multiple Columns
LIMIT / TOP / FETCH

Module 7: Aggregate Functions & Grouping

GROUP BY
HAVING Clause
COUNT(), SUM(), AVG(), MIN(), MAX()
GROUP BY With Aggregates
Filtering Aggregates (HAVING)

Module 8: SQL Functions – String

CONCAT()
LENGTH() / LEN()
LOWER() / UPPER()
SUBSTRING() / SUBSTR()
TRIM(), LTRIM(), RTRIM()
REPLACE()
INSTR() / CHARINDEX()

Module 9: SQL Functions – Date/Time

NOW(), CURRENT_TIMESTAMP
CURRENT_DATE, CURRENT_TIME
DATEADD(), DATEDIFF()
EXTRACT()
DATE_FORMAT(), FORMAT()
DAY(), MONTH(), YEAR()

Module 10: SQL Functions – Math

ABS(), ROUND()
FLOOR(), CEILING()
POWER(), SQRT()
RAND()

Module 11: SQL Functions – Conversion

CAST(), CONVERT()
TO_CHAR(), TO_DATE()

Module 12: SQL Functions – Conditional

CASE Expression
NULLIF(), COALESCE()
IIF()

Module 13: SQL Functions – Window

PARTITION BY
ORDER BY (Window)
ROW_NUMBER()
RANK(), DENSE_RANK()
FIRST_VALUE(), LAST_VALUE()

Module 14: Working With Joins

Inner Join // Left Join // Right Join
Full Join // Self Join // Cross Join
Left Anti Join // Right Anti Join

Module 15: Sub queries

Subqueries In WHERE
Subqueries In SELECT
Subqueries In FROM
Correlated Subqueries

Module 16: Views

Creating Views
Updating Views
Dropping Views

Module 17: Introduction To RDBMS

What Is An RDBMS?
DBMS Vs RDBMS
Features Of RDBMS
Popular Systems: MySQL, PostgreSQL, SQL Server, Oracle

Database Concepts

Tables, Rows, Columns
Schemas & Catalogs
Primary & Foreign Keys
Candidate & Composite Keys

Data Models

Relational Model
Entities & Attributes
1-1, 1-Many, Many-Many Relationships
ER Diagrams

Module 18: SQL Server Agent (Job Scheduling)

Overview Of SQL Server Agent
Creating A Job
Adding Job Steps
Creating A Schedule

Module-3B-MS Access

Module 1: Introduction to MS Access

What is MS Access?
Features of MS Access
Understanding the Access interface
Databases, tables, objects overview
Differences between Access and other RDBMS

Module 2: Database Fundamentals

Creating a new database
Database file types (.accdb, .mdb)
Opening, saving, and closing databases
Navigation Pane & object organization

Module 3: Tables in MS Access

Creating tables (Design View / Datasheet View)
Field names and data types
Field properties (size, format, input mask)
Primary key selection
Creating lookup fields
Table relationships overview

Module 4: Data Types & Field Properties

Short Text, Long Text // Number, Large Number
Date/Time, Currency // Yes/No
Hyperlink // Lookup Wizard // Attachment
Field validation rules

Module 5: Working With Data

Adding records
Editing records
Deleting record
Sorting & filtering data
Searching records

Module 6: Keys & Relationships

Primary keys // Foreign keys
One-to-One relationships // One-to-Many relationships
Referential integrity // Relationship window

Module 7: Queries – Types of Queries

Select Queries
Action Queries (Append, Update, Delete, Make-Table)
Crosstab Queries
Find Duplicates Queries // Find Unmatched Queries

Module 7: Queries – Concepts

Query Design View // Adding criteria
Sorting, filtering //Using expressions
Calculated fields

Module 8: Forms

Introduction to forms
Creating forms (Form Wizard, Design View)
Form layouts
Controls (Text box, Combo box, Buttons)
Binding forms to data // Navigation forms
Subforms

Module 9: Reports

Creating reports // Report Wizard // Grouping & sorting
Headers & footers // Summary reports
Printing & exporting reports

Module 10: Importing & Exporting Data

Import from Excel // Export to Excel
Importing text files // Linking tables (external data)
Connecting to SQL databases

8 Major Points to Learn MS Access in Analytics

Easy Data Management for NonTechnical Users
Relational Database Capabilities
Connecting to SQL databases
Powerful Querying (SQL Support)
Perfect for Small & Medium Projects
Integration With Excel & Business Tools
Forms & Reports for Business Insights
Automation Through Macros & VBA
Best for Teaching Structured Data Concepts

Module 4: Microsoft (MS) Power BI

Microsoft Power BI – Introduction

What is MSPBI& Scope
Learn the common work flow in Power BI
Building blocks of Power BIand its relations
Quick demo how to create a business dashboard in MSPBI
MSPBI components

Module 2: MS Power BI – Getting Business Data

Get data in shape for use with Power BI
Combining two or more data sets (source data) for reporting
Tackling messy data in MS Power BI
Clean &Transform data

Module 3: MS Power BI -Data Visualization

Create and customize visualization
Use combination charts
Create and format slicers
Map visualizations
Visualizations utilization
Use tables and matrixes
Long live bubbles
scatter charts in action
Advanced funnel and waterfall charts
Drive fast dashboard insights with gauges and numbers
Color your visualization world with colors
shapes and scales
Adding personal touch
logo etc. to reports and dashboards
Display and present your dashboard in a way you want with summarize data
Control how your report elements overlap with each other
Learn to drill into hierarchies
Manage how levels are shared (Z-order in reports)
How to use R visuals in MSPBI

Module 4: MS Power BI -Data Exploring & Sharing

Quick insights in Power BI Service
Create and configure a dashboard
Share dashboard with your organization
Display and edit visuals- tiles
full screen
Get more space on your dashboard
Install and configure a personal gateway
Excel and MSPBI
Import and excel table into Power BI
Import excel files with data models and power view sheets
Connect One Drive for business to MSPBI
Excel data in Power BI summary

Module 5: MS Power BI – DAX (Data Analysis Expression) Application Setting up Data Models with DAX

DAX for creating tables and columns
Rows vs. query vs. filter context
DAX for calculated tables and columns
Creating a date table
Calculated column for costs
Data cleaning with DAX
Connecting data from different tables
Methods to create DAX measures
Advantages of explicit measures V2
DAX and measures
Using variables
Basic statistical measures
Quick measures

Module 6: Power BI – Common DAX Measures

Filtering and counting with DAX
Understanding different filter functions
Using different filters with DAX
Filter ALL the data
Calculating with a filter
Analyzing across dimensional tables
Iterating functions
DIY iterating functions
Iterating functions in Power BI
Practice with iterating functions
More iterating functions
Use of RANKX()

Module 7: Power BI – Redefine DAX

Logical functions
Interpreting SWITCH()
Logical functions in Power BI
IF() for formatting tables
Exploring SWITCH()
Grouping
Row-level security
Applying row-level security
Managed roles in Power BI
Creating an email list
Implementing RLS

Module 8: Power BI – Redefine DAX

Table manipulation functions
Summary of SUMMARIZE()
Table manipulations using DAX
SUMMARIZE() the facts
ADDCOLUMNS()? No problem!
Time intelligence functions
Time intelligence functions output
Time intelligence in Power BI
Use of TOTALYTD()
Use of SAMEPERIODLASTYEAR()

Module 5: Data Visualization- Tableau

Module 1 – Getting Started with Tableau

Overview Of Tableau
Tableau Architecture
Installation And Configuration Of Tableau 10

Module 2 – Connecting to The Data

Managing Metadata
Managing Extracts
Data Sources
Cross-Database Joins
Data Aggregation And Data Ports
Tableau Charts
Bar Charts and Stacked Bars Data Blending
Tree Maps and Scatter Plots
Individual Axes, Blended Axes, Dual Axes and Combinational Chart

Module 3 – Visual Analytics

Drill Down and Hierarchies
Sorting, Filtering and Grouping
Parameters and Formatting
Trend and Reference Lines
Forecasting and Clustering
Analysis with Cubes and MDX

Module 4 – Developing First Bar Chart

Connecting Tableau to Data File
Navigating Tableau
Calculated Fields
Adding Colors, Labels and Formatting

Module 5 – Time Series, Maps and Aggregation

Data Extracts and Time Series
Understanding Granularity, Aggregation and Level Of Details
Default Location in Maps
Custom Geo Coding
Symbol Map and Filled Map

Module 6 – First Dashboard

Into Section
Joining Data In Tableau
Working With Maps and Hierarchies
Scatter Plot and Applying Filters in Different Sheets
Creating First Dashboard

Module 7 – Blending Data and Dual Axis Charts

Duplicate Values
Multiple Fields
Data Blending
Dual Axis Chart
Building Calculated Fields

Module 8 – Table Calculation and Storytelling

Data Format
Data Interpreter
Multiple Columns And Pivot
Metadata Grid
Advanced Data Preparation

Module 9 – Data Preparation

Data Format
Data Interpreter
Multiple Columns And Pivot
Metadata Grid
Advanced Data Preparation

Module -6: AWS for Cloud Data Analytics With Live Projects

HR Round Interview Preparation

Module-7: Alteryx Data Analytics

Alteryx- Introduction

What exactly is Alteryx?
Why are We learning Alteryx
What is Meant by Alteryx Designer
Alteryx Designer User Interface
User and Workflow Configuration

Alteryx–Alteryx Designer

Tool Palettes
Configuration
Favorite Palettes
Workflow Canvas

Alteryx- Parsing Data

Format Data
Find Replace Delimiters

Alteryx–Data Containing

Using Conditional Statements in Formulas
Format Data/ Time Fields
Use values From Previous/SubseQuent Rows in Formulas

Alteryx–Data Restructuring/Data Processing

Split data, skip records, use a record as field headings, pivot and unpivot data and trim and split fields
Input Data
Dynamic Rename
Text to columns
Transpose
Cross Tab
Formula
Directory
Comment
Sample
Tool Container
Select
Filter
Output Data
Record Id
Unique

Alteryx– Join Data from Various Source

Filter
Summarize
Browse
Union
Join Multiple
Input Data
Formula
Join
Output Data
Data Filter
Generate Row

Alteryx–Data Handling

Impute Values
Data Cleansing
Formula
Append Field
Random Sample
Unique
Running tool

Alteryx–Create Static Reporting

Table
Charts
Layout
Date time Now
Email
Sort
Render
Resort map
Report Text

Alteryx–Images

Create Points
Spatial Match
Find Nearest
Trade area
Distance
Special info

Alteryx–Images

List Box
Numeric Up Down
Checkbox
Control Parameter
Action
Image
File Browse
Radio Button

Find the AWS Cloud Data Analytics Course Duration Details below.

Duration of Module

AWS Cloud Data Analytics Course Module	AWS Cloud Data Analytics Course Duration
AWS Cloud Data Analytics	70-90 (Hours)

Batch Timings

AWS Cloud Data Analytics Course Schedule	Course Timing
Monday to Friday	8:00 AM – 10:00 AM
Monday to Friday	10:00 AM – 12:00 PM
Monday to Friday	2:00 PM – 4:00 PM
Monday to Friday	4:00 PM – 6:00 PM
Saturday/Sunday	8:00 \| 12:00 \| 2:00 \| 4:00
Sunday	8:00 AM – 10:00 AM
Sunday	10:00 AM – 12:00 PM
Sunday	2:00 PM – 4:00 PM
Sunday	4:00 PM – 6:00 PM

Download AWS Cloud Data Analytics Course Brochure

AWS & Cloud Data Analytics

FAQ

Q1: Do I need a technical background to join the AWS Cloud Data Analytics course?

Q2: Which AWS certification does this training prepare me for?

Q3: How does learning AWS benefit a Data Analyst specifically?

Q4: Are the classes available on weekends for working professionals?

Q5: Will I get hands-on experience during the training?

Q6: What kind of placement assistance do you provide?

Testimonials

Tanzeel Mohammad

They actually do what they commit, I took classes for HR Generalist training & I am really satisfied with trainers as he explained every topic in very efficient way. Now I am utilizing his guidance and also SLA committed me that they will provide me the good placement opportunities and they did as they said. So, I am really satisfied with the classes and their efforts for SLA students.

Tanzeel Mohammad

HR Generalist-Dhwani Rural Information Systems Pvt Ltd

Sharmistha Das

Great Institute with great teaching faculty. It has good placement. Satisfied after studying from this institute. It is the best hr training institute.

Sharmistha Das

Payroll Executive at Excelity Global

Rachna

I wanted to make my career in HR but could not afford to do an MBA course. SLA Consultants provided me with theoretical as well as practical training in HR and I am working as HR Executive with a reputed company now even without an MBA. Thanks SLA. You made my life easier.

Rachna

HR Executive at TNS Networking Solution

Gauri

People say that the job of an HR Generalist is very tough as the person has to take on multiple roles. Thanks to SLA Consultants, I did not feel that I cannot take on multiple roles. The trainers made me a superstar and I can deal with any HR issue right now as the trainers have shared extensive knowledge with me.

Gauri

HR Generalist at MIPS

Neha Attri

SLA Consultants is a great place for young students who want a job without spending a lot of money. I have learnt a lot there and they helped me get a stable job in a company of my choice. I will forever be thankful to them for guiding me towards a great career path and helping me make a good life for myself.

Neha Attri

HR Generalist at Bonanza Portfolio Pvt. Ltd.

Jyoti Yadav

I wanted to make my career in HR but could not afford to do an MBA course. SLA Consultants provided me with theoretical as well as practical training in HR and I am working as HR Executive with a reputed company now even without an MBA. Thanks SLA. You made my life easier.

Jyoti Yadav

HR Executive at Development Alternatives

Niraj Nandan

I had read a lot of SLA Consultants consumer complaints before signing up for a training program in HR. Thankfully, all the doubts I had were fake and the Institute helped me to get a job in a dream company. Thank you, team SLA!!

Niraj Nandan

HR Gernalist at CYGNUS EQUIPMENTS & RENTALS PVT. LTD.

Vineet

I dreamed of making a career in HR but I did not want to go into a core recruitment job role. This is where SLA helped me. The trained made me a multitasker by teaching me all aspects of HR from payroll to labor law. This training helped me make my dream of working as a HR professional come true.

Vineet

HR Payroll at CYGNUS EQUIPMENTS & RENTALS PVT. LTD.

Naveen Sharma

SLA Consultants made me a better HR professional in just a few weeks. I am proudly working as an HR Manager now and have a team under me. I am really thankful to them for their constant support before and after the completion of the course.

Naveen Sharma

HR Manager - AM Mituj Marketing

Arshad Khan

HR Manager at Mituj Marketing

Sujata Teotia

HR Executive - PC Solution

Rashmi Pal

SLA Consultants made me a better HR professional in just a few weeks. I am proudly working as an HR Payroll Executive now and have a team under me. I am really thankful to them for their constant support before and after the completion of the course.

Rashmi Pal

Payroll Executive - Mynd Solution

Bharti Sharma

People say that the job of an HR Executive is very tough as the person has to take on multiple roles. Thanks to SLA Consultants, I did not feel that I cannot take on multiple roles. The trainers made me a superstar and I can deal with any HR issue right now as the trainers have shared extensive knowledge with me.

Bharti Sharma

HR Executive at JB Intertrade

Neha Batra

SLA Consultants made me a better HR professional in just a few weeks. I am proudly working as an Sr.HR Executive now and have a team under me. I am really thankful to them for their constant support before and after the completion of the course.

Neha Batra

Sr. HR Executive - Abia HR Solutions

Samriti Attreja

I wanted to make a career in HR and I had a knack for understanding laws and regulations. SLA Consultants helped me to become a HR law expert within a few weeks. Every rupee I spent on the course is worth it as I have gained knowledge for life.

Samriti Attreja

HR Executive - Abia HR Solutions