Best Data Analyst Course Training in Mumbai - Affordable Fees - Online Classes Available

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  • Best Data Analyst Course in Mumbai to Learn in Online / Classroom Format from Best Data Analyst Training Institute QuickXpert Infotech known for Quality Training in Reasonable Fees and Placements!

  • About Data Analytics -

    Process to analyze data and represent them in meaningful readable format like charts, plots, summary reports, dashboards etc. which helps business users take business decisions is called as Data Analytics. Without business decisions business cannot survive and hence Data Analytics is Evergreen Field!

  • About Our Data Analyst Expert Course -

    This course is targeted to both Freshers and Experienced either from IT or any other field who wish to become a Data Analyst!. Course covers right from working with database, core programming in python to advanced data visualization tools along with Excel to help you become a Data Analytics Expert and stand out in competition!

  • Tools You Will Learn ?

    Oracle SQL or MySQL, Python, Python Analytics, Excel Analytics, Tableau and Power BI

  • Any Pre-requisites -

    None. Any one from IT or non IT can learn. Students from any IT / Engg. Background Preferred.

  • Scope & Job Openings -

    Very High & Everygreen Field

  • Jobs Roles Targeted -

    Data Analyst, Data Analyst Developer, Analytics Engineer, Data Engineer etc.

  • Training Packages -

    1. Data Analytics (4 months), 2. Adv. Data Analytics (6 months), 3. Customized Training Available

Syllabus

Job Opportunity

Adv. Data Analyst Course
  • Installation & Configuration
  • Using Professional Tool - MySQL Workbench
  • Create Database
  • Create Database Objects
    • Create Tables
    • Implementing Foreign Keys
    • Using Auto Increment
    • Indexes & Index Types
  • Constraints
    • Foreign Keys & index
    • Primary key & index
    • Unique key & index
    • Not null constraint
  • DML Operations
    • Insert
    • Update
    • Delete
  • Select Queries
    • Basic Queries
    • Using AND & OR conditions
    • Using in, between, distinct and like keywords
    • Sorting in ascending and descending order
  • Functions
    • Trim
    • Uppercase
    • Lowercase
    • LengthPosition
    • Left
    • Ifnul
    • Substring
    • Substringindex
    • Date
    • Numbers
    • Convert
    • Cast etc.
  • Groups
    • Understanding Grouping Columns Usage - Dos & Don’ts
    • Grouping Functions o Min o Max o Sum o Count o Average o Distinct Count
    • Using Having Clause
    • Filtering on grouing functions
    • Multi column groups
  • Joins
    • Creating Foreign Keys and use them in Joins
    • Inner Join or Natural Join
    • Left Outer Join
    • Right Outer Join
    • Full Outer Joins
    • Complex Join Queries etc
  • Views & Inline Views
  • Subquery
  • Create Complex Queries
    • Using Joins, Groups, Views & Subquery all together
    • Creating tables using queries
    • Inserting, Update & Delete using Select Queries
  • Mini Project / Case Study
  • Introduction & Installation
    • Introdution to Python & Python Analytics or Adv. Python
    • Python / Anaconda Installations & Configuration
  • Programming Basics
    • Variables
    • Data Types
    • User Inputs
    • Unpacking
    • Boolean Practice
    • What If, Else and If, Making Decisions
    • Loops
  • Functions
    • Creating Functions
    • Using Built in Functions
  • OOPs Programming
    • Modules
    • Classes & Objects
    • Inheritance
    • Overloading
    • Composition
  • Data Structures
    • List
    • Tuple
    • Set
  • Exception Handling
  • MySQL Server Setup
    • Installing and Configuring MySQL Server
    • Creating Database
    • CRUD Operations
    • Create Tables
      • Insert
      • Update
      • Delete
  • Database Integration with Python
    • Connection to Database from Python
    • Writing functions to handle database operations
    • CRUD Operations in python
  • Web Scrapping
    • Getting Data from Any Website using Python (new)
  • Data Analytics in Python
    • Installing & Understanding Analytics Packages
    • NumPy Array Operations
    • Pandas Data Frame Operations
    • Data Acquisition (Import & Export)
    • Indexing
    • Selection
    • Sorting
    • Filtering
    • Group By
    • Binning
    • Concatenation
    • Merge
    • Append
    • Drop
  • Data Visualization in Python
    • Installing Librarires
      • Matplotlib
      • Seaborn
    • Charts & Plots
      • Histogram
      • Scatter Plots
      • Box Plots
      • Line Chart
      • Bar Chart
      • Pie Chart etc.
    • Dashboards
    • Project
  • Beautiful SOAP library
  • Project
  • Working with Spreadsheets
  • Preparing Manual Data
  • Fetching Data From Database
    • Excel Integration with SQL & Fetching Data from SQL
  • Excel Common Functions
    • Len
    • Conditions functions
    • V Lookup
    • Rank
    • Grouping Functions
      • Sum
      • Avg
      • Min
      • Max
      • Count & CountA
  • Pivot Tables
  • Charts
    • Bar Chart
    • Pie Chart
    • Line Chart
    • Bubble Chart
    • Stacked Bar Chart
      • Horizontal
      • Vertical
  • Project on Dashboards / Data Visualization
    • On Data from SQL
    • On Data from Python
    • On Data from CSV files
  • Installation and Configuration
  • Introduction to Tableau
    • Architecture
    • Data Model
    • Data Connection with single data sources
    • Data Joins
    • Working with multiple data sources
    • Data Blending
    • Difference between joining and blending data
  • Tableau Interface
    • Measures and dimension
    • Shelves
    • Show me
    • Data Types
    • Default Properties
    • Marks Card
    • Page Shelf
    • Saving and sharing your work-overview
    • Difference between .twb and .twbx
    • Discrete vs Continuous
  • Date Aggregations and Date parts
    • Cross tab
    • Totals & Subtotals
  • Chart Types
    • Bar Charts & Stacked Bars
    • Pie Chart
    • Line Graph with Date
    • Line Graph without Date
    • Area charts
    • Tree Map
    • Word Cloud
    • Packed Bubble
    • Box & Whiskers Plot
    • Scatter Plots
    • Highlight tables
    • Heat maps
  • Data Visualization
    • Geographical fields
    • Map options
  • Run Time Columns
    • Calculated Fields
    • String Calculation
    • Data Calculation
    • Logical Calculation
    • Numeric Calculation
    • Parameters
    • Table Calculations
    • Level of detail
  • Data Formatting
    • Legends
    • Highlights
    • Labelling
    • Number Formats
    • Alignment
  • Advanced Functionalities
    • Sorting
    • Groups
    • Sets
    • Hierarchy
    • Reference and Trend Lines
    • Edit Axis
    • Bins
  • Filters
    • Dimension Filter
    • Measure Filter
    • Filter - Display Option
    • Context Filters
    • Relevant Filters
    • Sets in filters
    • Conditional Filters
  • Advanced Charts
    • Pareto
    • Waterfall
    • Funnel
    • Waffel Chart
  • Dashboards
    • Dashboard Objects
    • Dashboard Actions
    • URL
    • Highlight
    • Filter
    • Advanced Interactivity
    • Publish to Web
  • Case Studies / Project
  • Data Visualization & Analytics
    • Data Sources
    • from SQL (MySQL)
    • from Flat Files (CSV / Excel etc.)
    • from Python
  • Introduction to Power BI
    • What is Power BI and Why Power BI
    • Installing Power BI Desktop
    • Exploring the Power BI Workflow
    • Adjusting the settings of the Power BI Desktop
    • Comparison of Power BI vs Other Reporting Tools
  • Getting and Transforming Data with Power BI Desktop
    • Connecting to different sources
    • Different connecting Options(DirectQuery vs Import Data Vs Live Connection)
    • Shaping and transforming data with Power Query
    • Editing,Merging,Appending queries etc
  • Modeling with Power BI
    • Introduction to Modeling
    • Building Relational Models(Setup and Manage Relationships)
    • Creating table relationships
    • Understanding the filter flow
    • Cardinality and Cross filtering
  • Introduction to DAX
    • Understanding Dax Syntax
    • Calculated Columns vs Measures
    • Common Dax functions and formulae
    • Understanding the evaluation context in DAX
  • Visualising Data with Reports
    • Creating Visualisations
    • Color & Conditional Formatting
    • Setting Sort Order
    • Scatter & Bubble Charts & Play Axis
    • Tooltips
    • Slicers, Timeline Slicers & Sync Slicers
    • Cross Filtering and Highlighting
    • Visual, Page and Report Level Filters
    • Drill Down/Up
    • Hierarchies
    • Constant Lines
    • Tables, Matrices & Table Conditional Formatting
    • KPI's, Cards & Gauges
    • Map Visualisations
    • Custom Visuals
    • Managing and Arranging
    • Drillthrough
    • Custom Report Themes
    • Grouping and Binning
    • Bookmarks & Buttons
  • Introduction to Power BI Service
    • Introduction to the Power BI Service
    • Quick Tour of Power BI Service
    • Connecting to Data from Power BI service
    • Building Blocks of Power BI Service
  • Sharing and Collaboration Tools in Power BI Service
    • Sharing and Collaboration Options Overview
    • Publish from Power BI Desktop
    • Publish Reports to Web
    • Printing and Exporting from Power BI Service
    • Sharing Reports & Dashboards
    • Workspaces (My Workspace vs App Workspace)
    • Publishing Apps in Power BI Service
    • Row Level Security in Power BI Desktop and Service
  • Power BI Gateway and Refreshing Datasets
    • Understanding Gateways in Power BI
    • Difference between Personal and On-Premise Gateway
    • Installation of Personal Gateway
    • Installation of On Premise Enterprise Gateway
    • Setting Up a Gateway in Power BI Service
    • Understanding Data Refresh(Manual vs Scheduled Refresh)
    • Troubleshooting Refreshing scenarios
Data Science Course | Data Science Career Path

Syllabus

Tools You Will Learn

Why get Trained from us ?

Training From Experts

Personal Attention

80% Practical

Training Material

Course Completion Certificate

Live Projects / Case Studies

Interview Preparation

Placements etc.

Frequently Asked Questions

  • Quick info about us?

    We are among Leading Institutes in Mumbai known for Quality Training for IT Courses & Placements! Overall 9+ yrs in IT Classroom and Online Training, ISO Certified, Placements, 1000+ Companies, 1000s Trained! Our Live Projects - BiodataKing.com, MarriageOnix.com etc. Delivered Multiple Corporate Trainings to companies like GeBBS Healthcare, Infogix, NMIMS etc. For more info please visit home page.

  • How Online Lectures Will be Conducted ?

    Live Lectures On Gotomeeting, Googlemeet, Zoom etc. Trainers will be Live so your doubts will be solved live via screenshare.

  • Do You Have Classroom Training?

    Yes in Thane (Mumbai) ! opp. Thane west railway station. 1 student 1 laptop policy. Address mentioned below. For other locations Live Online Trainings Only.

  • Placement Assistance?

    Yes 100% - We are fully Committed for Your Sucesss! Placement assistance will be provided until you get job until max 1 year (more than sufficient). Best thing about us - Dedicated HR for placements, Overall 1000+ companies, Many of our students Got Jobs WITHIN 2 months of course completion! Check our recent placed students on our Google / FB page and on placement page here on website.

  • What if i Miss a Session ?

    Don't worry - Either in Classroom or Online if you miss a session Recording of Lecture or repeat lecture provided.

  • Group Discounts?

    Yes - Please talk to counsellor.

  • Do You Provide Corporate Trainings ?

    Yes. We have delivered corporate trainings to NMIMS, Infogix, GeBBS Healthcare solutions, PDG Softwares etc. Please submit inquiry form to convey your requirements.

  • Any Other Queries?

    Please submit inquriy form.

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Certification

We are an ISO 9001:2015 Certified Institute. Hence All our students get a valid course completion certificate with an ISO mark on it!

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Call / WhatsApp - +91-7506252588, 7276681665

Timings - Mon to Sat - 10.15am to 7pm & upto 4 pm on Sun

Email us - info@qxpsols.com

Address - 101, Prestige Chambers CHS Ltd., opp Thane west rly stn, Besides Maurya Hotel. Mumbai 400601

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