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Are you curious about the hidden stories within data? Do you yearn to transform numbers into narratives that drive
real-world impact?

  • Then dive into the Data Analyst Program - your passport to thrilling career in the hottest field of the 21st century! No coding required! This program equips you with the essential tools and techniques.
  • AI Simplifie, in collaboration with tech titan IBM, presents the Data Analyst Course-your gateway to a thriving tech domain without a single line of code!

WHAT DOES THE COURSE OFFER?

The Data Analyst Course equips you with the full arsenal of a data ninja, covering both fundamental and advanced tools
  • Master the data wrangling
    Excel & Advanced Excel: Become a spreadsheet whiz, manipulating and analyzing data with ease. SQL: Unlock the power of relational databases, querying and retrieving valuable insights.
  • Visualize like a pro
    Tableau: Craft stunning and informative dashboards to communicate your findings effectively. Power BI: Harness the power of Microsoft's BI tool to bring your data to life.
  • Unleash the Python & R potential
    Basics of R & Python: Gain a solid foundation in these popular programming languages, paving the way for further exploration.
  • Transform theory into practice
    Hands-on assignments and projects: Apply your learnings to real-world scenarios, building a robust portfolio that showcases your skills.
Elevate Your
Career with AI Simplifie’s Data Analyst Course, Powered by IBM!
Reach Our for More Details
Who Should do the Data Analyst Course
Seeking a career shift?
Marketing professionals:
Business analysts:
Operations professionals:
Customer service representatives:
Finance professionals:
Looking to upskill within your field?
Data Entry Specialists:
Report Writers:
Market Research Analysts:
Project Managers:
Human Resource Professionals:
Fresh graduates or career starters?
No coding background? No problem! This program focuses on tools like Excel, Tableau, and SQL, perfect for beginners.
Strong analytical and problem-solving skills? Hone your data acumen and turn complex information into actionable insights.
Curious about the world around you? Data analysis is the key to understanding trends, solving problems, and making a real impact.
Seeking a high-demand career with excellent growth potential? Data Analyst roles are booming across all industries.

Anyone with an interest in data, a desire to learn, and a passion for making sense of information can thrive in this program.
Do you have any specific questions about who might be a good fit? I'd be happy to help you find the perfect program match!

Contact Us
Data Analyst Project Life Cycle
Phase 1: Data Collection
  • Following a thorough business case evaluation within a specific domain, relevant data is collected to fuel the AI project.
Phase 2: Data Preparation
  • Leveraging SQL, the collected data from Phase 1 will be meticulously organized and stored within a structured database.
Phase 3: Insights Generation and Dashboard Building
  • Extract data from the database using tools like Tableau, Python, or R.
  • Analyze the data to uncover insights and trends.
  • Develop user-friendly dashboards to communicate the findings.
dataanalyst

Who Should do the Daya Analyst Course:

Seeking a career shift?

Marketing Professionals: Analyze campaign performance, target audiences, and optimize strategies with data.

Business Analysts: Transition from qualitative analysis to quantitative insights, driving data-backed decisions.

Operations professionals: Improve efficiency, identify bottlenecks, and optimize processes with data analysis.

Customer service representatives: Understand customer behavior, predict churn, and personalize interactions with data insights.

Finance professionals: Analyze financial trends, identify risks, and make informed investment decisions.

Looking to upskill within your field?

Data entry specialists: Level up to data analysis, interpret insights, and automate tasks with scripting.

Report writers: Craft compelling data narratives, identify trends, and become a trusted data advisor.

Market research analysts: Deepen your understanding of customer behavior and preferences with advanced data analysis.

Project managers: Plan and execute projects more effectively with data-driven decision-making.

Human resource professionals: Analyze recruitment trends, identify talent gaps, and optimize HR processes.

Fresh graduates or career starters?

No coding background? No problem! This program focuses on tools like Excel, Tableau, and SQL, perfect for beginners.

Strong analytical and problem-solving skills? Hone your data acumen and turn complex information into actionable insights.

Curious about the world around you? Data analysis is the key to understanding trends, solving problems, and making a real impact.

Seeking a high-demand career with excellent growth potential? Data Analyst roles are booming across all industries.

Anyone with an interest in data, a desire to learn, and a passion for making sense of information can thrive in this program.

Do you have any specific questions about who might be a good fit? I'd be happy to help you find the perfect program match!

Topics To Be Covered:

Excel: Basics to Advanced, MySQL, Tableau, Power BI

Introduction:
MS office Versions(similarities and differences)
Interface(latest available version))
Row and Columns)
Keyboard shortcuts for easy navigation)
Data Entry(Fill series))
Find and Select)
Clear Options)
Ctrl+Enter)
Formatting options(Font,Alignment,Clipboard(copy, paste special))
Referencing, Named ranges,Uses,Arithemetic Functions
Mathematical calculations with Cell referencing(Absolute,Relative,Mixed)
Functions with Name Range
Arithmetic
Functions(SUM,SUMIF,SUMIFS,COUNT,COUNTA,COUNTIFS,AVERAGE,AVERAGEIFS,MAX,MAXIFS,MIN,MINIFS)
Logical functions
Logical functions:IF,AND,OR,NESTED IFS,NOT,IFERROR
Usage of Mathematical and Logical functions nested together
Referring data from different tables: Various types of Lookup, Nested IF
LOOKUP
VLOOKUP
NESTED VLOOKUP
HLOOKUP
INDEX
INDEX WITH MATCH FUNCTION
INDIRECT
OFFSET
Advanced Functions
Combination of Arithmatic
Logical
Lookup functions
Data Validation(with Dependent drop down)
Date and Text Functions
Date Functions:DATE,DAY,MONTH,YEAR,YEARFRAC,DATEDIFF,EOMONTH
Text Functions:TEXT,UPPER,LOWER,PROPER,LEFT,RIGHT,SEARCH,FIND,MID,TTC, Flash Fill
Data Handling::Data cleaning, Data type identification, Remove Duplicates, Formatting and Filtering
Number Formatting(with shortcuts)
CTRL+T(Converting into an Excel Table)
Formatting Table
Remove Duplicate
SORT
Advanced Sort
FILTER
Advanced Filter
Data Visualization: Conditional Formatting, Charts
Conditional formatting(icon sets/Highlighted colour sets/Data bars/custom formatting)
Charts:Bar,Column,Lines,Scatter,Combo,Gantt,Waterfall,pie
Data Summarization: Pivot Report and Charts
Pivot Reports:Insert,Interface,Crosstable Reports;Filter,Pivot Charts
Slicers:Add,Connect to multiple reports and charts
Calculated field, Calculated item
Data Summarization: Dashboard Creation, Tips and Tricks
Dashboard:Types,Getting reports and charts together, Use of Slicers
Design and placement: Formatting of Tables,Charts,Sheets,Proper use of Colours and Shapes
Connecting to Data: Power Query, Pivot, Power Pivot within Excel
Power Query: Interface, Tabs
Connecting to data from other excel files, text files, other sources
Data Cleaning
Transforming
Loading Data into Excel Query
Connecting to Data: Power Query, Pivot, Power Pivot within Excel
Using Loaded queries
Merge and Append
Insert Power Pivot
Similarities and Differences in Pivot and Power Pivot reporting
Getting data from databases, workbooks, webpages
VBA and Macros
View Tab
Add Developer Tab
Record Macro:Name,Storage
Record Macro to Format table(Absolute Ref)
Format table of any size(Relative ref)
Play macro by button
shape
as command(in new tab)
Editing Macros
VBA:Introduction to the basics of working with VBA for Excel: Subs, Ranges, Sheets
Comparing values and conditions
if statements and select cases
Repeat processes with For loops and Do While or Do Until Loops
Communicate with the end-user with message boxes and take user input with input boxes, User Form

MySQL:

Introduction to Mysql
Introduction to Databases
Introduction to RDBMS
Explain RDBMS through normalization
Different types of RDBMS
Software Installation(MySQL Workbench)
SQL Commands and Data Types
Types of SQL Commands (DDL,DML,DQL,DCL,TCL) and their applications
Data Types in SQL (Numeric, Char, Datetime)
DQL & Operators
SELECT
LIMIT
DISTINCT
WHERE AND
OR
IN
NOT IN
BETWEEN
EXIST
ISNULL
IS NOT NULL
Wild Cards
ORDER BY
Case When Then and Handling NULL Values
Usage of Case When then to solve logical problems and handling NULL Values (IFNULL, COALESCE)
Group Operations & Aggregate Functions
Group By
Having Clause
COUNT
SUM
AVG
MIN
MAX
COUNT String Functions
Date & Time Function
Constraints
NOT NULL
UNIQUE
CHECK
DEFAULT
Primary key
Foreign Key (Both at column level and table level)
Joins
Inner
Left
Right
Cross
Self Joins
Full outer join
DDL
Create
Drop
Alter
Rename
Truncate
Modify
Comment
DML Commands
Insert
Update & Delete
TCL Commands
Commit
Rollback
Savepoint
Data Partitioning
Indexes and Views
Indexes (Different Type of Indexes)
Views in SQL
Stored Procedures
Procedure with IN Parameter
Procedure with OUT parameter
Procedure with INOUT parameter
Function, Constructs
User Define Function
Window Functions
Rank
Dense Rank
Lead
Lag
Row_number
Union, Intersect, Sub-query
Union, Union all
Intersect
Sub Queries, Multiple Query
Exception Handling
Handling Exceptions in a query
CONTINUE Handler
EXIT handler
Triggers
Triggers - Before | After DML Statement

Tableau:

Introduction to Tableau
What is Tableau ?
What is Data Visulaization ?
Tableau Products
Tableau Desktop Variations
Tableau File Extensions
Data Types, Dimensions, Measures, Aggregation concept
Tableau Desktop Installation
Data Source Overview
Live Vs Extract
Basic Charts & Formatting
Overview of worksheet sections
Shelves
Bar Chart, Stacked Bar Chart
Discrete & Continuous Line Charts
Symbol Map & Filled Map
Text Table, Highlight Table
Formatting: Remove grid lines, hiding the axes, conversion of numbers to thousands, millions, Shading, Row divider, Column divider
Marks Card
Filters
What are Filters ?
Types of Filters
Extract, Data Source, Context, Dimension, Measure, Quick Filters
Order of operation of filters
Cascading
Apply to Worksheets
Calculations
Need for calculations
Types: Basic, LOD's, Table
Examples of Basic Calculations: Aggregate functions, Logical functions, String functions, Tablea calculation functions, numerical functions, Date functions
LOD's: Examples
Table Calculations: Examples
Data Combining Techniques
What is Data Combining Techniques ?
Types
Joins, Relationships, Blending & Union
Custom Charts
Dual Axis
Combined Axis
Donut Chart
Lollipop Chart
KPI Cards (Simple)
KPI Cards (With Shape)
Groups, Bins, Hierarchies, Sets, Parameters
What are Groups ? Purpose
What are Bins ? Purpose
What are Hierarchies ? Purpose
What are Sets ? Purpose
What are Parameters ? Purpose and examples
Analytics & Dashboard
Reference Lines
Trend Line
Overview of Dashboard: Tiled Vs Floating
All Objects overview, Layout overview
Dashboard creation with formatting
Dashboard Actions & Tableau Public
Actions: Filter, Highlight, URL, Sheet, Parameter, Set
How to save the workbook to Tableau Public website ?

Power BI:

Power BI Introduction and Installation
Understanding Power BI Background
Installation of Power BI and check list for perfect installation
Formatting and Setting prerequisits
Understanding the difference between Power BI desktop & Power Query
The Power BI user interface, including types of data sources and visualizations
Getting familiar with the interface BI Query & Desktop
Understanding type of Visualisation
Loading data from multiple sources
Data type and the type of default chart on drag drop.
Geo location Map integration
Sample dashboard with Animation Visual
Finanical sample data in Power BI
Preparing sample dashboard as get started
Map visual Types and usages in different variation
Understanding scatter Plot chart with Play axis and the parameters
Power BI artificial intelligence Visual
Understanding the use of AI in power BI
AI analysis in power bi using chart
Q&A chat bot and the use in real life
Hirarchy tree
Power BI Visualization
Understanding Column Chart
Understanding Line Chart
Implementation of Conditional formating
Implementation of Formating techniques
Power Query Editor
Loading data from folder
Understanding Power Query in detail
Promote header, Split to limiter, Add columns, append, merge queries etc
Modelling with Power BI
Loading multiple data from different format
Understanding modelling (How to create relationship)
Connection type, Data cardinality, Filter direction
Making dashboard using new loaded data
Power Query Editor Filter Data
Power Query Custom Column & Conditional Column
Manage Parameter
Introduction to Filter and types of filter
Trend analysis, Future forecast
Customize the data in Power BI
Understanding Tool tip with information
Use and understanding of Drill Down
Visual interaction and customisation of visual interaction
Drill through function and usage
Button triggers
Bookmark and different use and implementation
Navigation buttons
Dax Expressions
Introduction to DAX
Table Dax, Calculated column, DAX measure and difference
Eg:- Calendar, Calendar auto, Summarize, Group by etc
Calculated Column
Related, Lookup value, switch, Datedif,Rankx,Date functions
Dax Measure and Quick Measure
Remove filters, Keep filters, All, Allselected, Time Intelligence Functions,Rolling average,YoY, Running total
Custom Visual
Custom visual and understanding the use of custom
Loading custom visual, Pinning visual
Loading to template for future use
Publishinhg Power Bi
Power BI Service
Introduction to app.powerbi.com
Schedule refresh
Data flow and use power bi from online
Download data as live in power point and more

Value Add Courses: Business Statistics, Fundamentals of R, Fundamentals of Python, SAS(Self Paced), ChatGPT

Business Statistics:

"Introduction to R,Installation of Rstudio,Data Types in R
Data types(Numeric,Char,Logical,Complex,Vector,List,Matrix,Factor,Array,Dataframe),Relational operators,Logical operators
Decision making statements,Loops,Functions
If,Ifelse,For loop,While loop,Repeat,Functions
Built in Functions in R,Joins,dplyr and ggplot2
Merging dataframes,Analyzing Iris Dataset using apply functions,dplyr package(Filter,Sel,Arrange),Data visualization using ggplot2,Scatterplot,Histogram,Boxplot

Fundamentals Of Python:

Anaconda Installation,Introduction to python,Data types,Opearators
Variables,data types(integer,Boolean,Float,List,tuple,string),Opearators in python
Data types Contd,Slicing the data,Inbuilt functions in python
Dictionaries,Sequence methods,Concatenate,Repetition,len,min,max functions,Index position,Addition and deletion of elements,Reverse,Sorting
Sets,Set Theory,Regular Expressions,Decision making statements
Sets,re module(findall,search,split,match),if,elifGetting input from user,Identity Operators
Loops,Functions,Lambda functions,Modules
For,While loops,Functions,Lambda functions,Math module,Calender module,Date & time module
Pandas,Numpy,Matplotlib,Seaborn
Data frame creation using different methods,Using Pandas anlysis on Universities,Salary data sets,Visualization using Matplotlib and Seaborn,Numpy introduction

ChatGPT:

Introduction to ChatGPT and AI
What is ChatGPT?
The history of ChatGPT
Applications of ChatGPT
ChatGPT vs other chatbot platforms
Industries using ChatGPT
The benefits and limitations of ChatGPT
Future developments in ChatGPT technology
Ethical considerations related to ChatGPT and AI
Types of AI and Chatgpt architecture
Narrow AI
Strong AI
Superintelligence
Chatgpt architecture
ChatGPT Functionalities and Applications
How does ChatGPT work?
ChatGPT Functionalities
Drafting emails and professional communication
Automating content creation
Resume and Cover letter creation
Research and information gathering
Brainstorming ideas and creative problem solving
Best Practices for Using ChatGPT
ChatGPT Prompt Engineering
What is Prompt Engineering?
Types of Prompts
Crafting Effective Prompts
Using ChatGPT to generate prompt

AI Simplifie isn't just about acquiring knowledge; it's about empowering you to succeed.

HANDS-ON LEARNING:

Live projects: Dive deep into real-world challanges from diverse industries, building a strong portfolio and gaining invaluable experience.
50+ labs and 30+ assignments: Put your theoretical knowlede to the test with practical exercises and assignments, solidifying your skills.
1500+ interview preparation questions: Conquer your anzieties and master interview techniques with our comprehensive interview prep program.

INDUSTRY-LEADING EXPERTISE:

Industry-best trainers: Learn from exerienced professionals who are passionate about their fields and share their insights and practical knowledge.
Tailored curriculum: Choose from various curriculums designed to meet your specific goals and interests, ensuring you gain the most relevant skills.
Lifetime access: Stay ahead of the curve with our e-learning platform, where you can revisit course materials and access new resources anytime.

HANDS-ON LEARNING:

Dedicated placement cell: We work tirelessly to connect you with career opportunities and help you land your dream job.
Personalized guidance: Receive ongoing support throughout your training and beyound, with access to our dedicated team through WhatsApp, calls and emails.
Peer support: Connect with fellow learners, build a strong network, and benefit from mutual support and shared experiences.

AI Simplifie is more than just a training institute it's a community that invests in your success. Join us and unlock your full potential.

AI SIMPLIFIE: WHERE PASSION MEETS EXPERTISE-TOP-NOTCH FACULTY AWAIT YOU:

At Ai Simplifie, we believe that exceptional learning requires exceptional instructors. That's why our faculty is comprised of passionate trainers possessing 12+ years of industry experience. They are not just teachers; they are mentors, guides and industry veterans who share their knowledge and insights to empower you for success. Here's what sets our faculty apart:
Real-world expertise
Passionate about teaching
Dedicated to your success
Industry connections
Excellent communication skills

DIVE DEEP WITH AI SIMPLIFIE'S EXHAUSTIVE COURSE CURRICULUM: PRACTICAL EXPOSURE MEETS THEORETICAL FOUNDATION:

At AI Simplifie, we believe that a strong foundation in both theory and practical application is crucial for success. That's why we offer an exhaustive course curriculum designed to equip you with the necessary knowledge and hands-on experience to thrive in your chosen field. Our curriculum features:
Comprehensive coverage of all relevant topics
Industry-aligned content
Hands-on learning
Expert-led sessions
Flexible learning options

BRIDGE THE GAP BETWEEN THEORY AND PRACTICE: REAL-LIFE PROJECTS AND BOOTCAMPS AT AI SIMPLIFIE:

At AI Simplifie, we understand that theoretical knowledge alone is not enough. We believe in learning by doing, which is why we offer real-life projects and bootcamps as an integral part of our curriculum.

ONE REAL-LIFE PROJECTS OFFER:

Exposure to real-world data challenges:
Application of theoretical knowledge:
Skill development
Collaboration and teamwork
Confidence building

OUR BOOTCAMPS OFFER:

Intensive training on specific skills
Expert guidance and mentorship
Networking opportunities
Rapid skill acquisition
Career advancement

Let's embark on this transformative journey together! Join us...

Learning Path: Your Roadmap to Success with Internship Program

This conprehensive path equips you with the knowledge, skills and confidence to land your dream job and thrive in your career.

BUILD YOUR KNOWLEDGE BASE:

Master the fundamentals through expert-led training and intership experience.
Apply you learning to real-world scenarios through case studies, projects and intershipp tasks.
Deepen your knowledge with specialized dives, customized learning paths and intership-specific learning modules.

DEVELOP ESSENTIAL SKILLS:

Gain practical experience through real-world data projects, teamwork and internship responsibilities.
Build your resume and portfolio with industry-relevant skills acquired through your internship.
Refine your communication, interview and negotiation skills through workshops, coaching and internship interactions.

INTERNSHIP FOR INSTANT JOB READINESS:

Connect with industry leaders through networking events, guest speakers, and internship partnerships.
Receive personalized career coaching and launch a successful job search with internship guidance.
Transition from student to professional with confidence and adaptability, thanks to your internship preparation.

EMPOWER YOUR FUTURE:

Cultivate a lifelong learning mindset and embrace continuous up skilling opportunities available through your internship and beyond.
Gain industry recognition and leverage your knowledge for impact through your internship projects.
Build a strong professional network through internship connections and fellow learners and connect with mentors for ongoing guidance.

Let's embark on this transformative journey together! Join us...