Best Data Analyst Training Institute in Thane
Learners 1000+
-
Best Data Analyst Course in Thane to Learn in Classroom / Online Format from Best Data Analyst Training Institute QuickXpert Infotech known for Quality Training in Reasonable Fees and Placements!
-
About Our Data Analyst Certification Course With Real Time Projects -
Learn from SQL to advanced data analytics tools with Real time projects under our experts. Can be learnt by both freshers and experienced to become a Data Analyst Professional!
-
What You Will Learn?
SQL, Python, Python Analytics, Excel Analytics, Tableau and Power BI with projects
-
Jobs Roles Targeted -
Data Analyst, Data Analyst Developer, Analytics Engineer, Data Engineer etc.
-
Any Pre-requisites -
None. Any one from IT or non IT can Learn.
Syllabus
Syllabus
Adv. Data Analyst Course
- Oracle 18/21c Installation
- Basics
- Oracle Basics
- Database models
- ER Model Overview
- Data types
- Understanding Test Database
- Basics Queries
- Arithmetic and String functions
- DML Operations - Insert, Update and Delete
- FETCH command - Top N, Top % Rows
- Writing Queries
- Filters
- DISTINCT
- BETWEEN
- IN
- LIKE
- NOT
- NULL
- AND, OR, NOT etc
- Using Complex Data Filtering Techniques
- Sorting
- Ascending Order
- Descending Order
- Complex Sorting
- Functions
- String Functions - lower case, uppercase, substring, instring, trim etc.
- Number Functions
- Date Manipulation
- Null Value Functions - NVL, NVL2, NULLIF, COALESCE
- Conditional Expressions - Case and Decode
- Groups
- Basics
- Grouping functions - AVG, MIN, MAX, COUNT, DISTINCT COUNT etc
- Grouping Filters - HAVING
- Rollups & Cubes
- Analytic (Window) Functions
- Over() with summary functions
- Partition By Queries
- ROW_NUMBER()
- RANK()
- DENSE_RANK()
- Joins
- Cartesian Product
- Equi and Non-Equi Joins
- Left Outer Join
- Right Outer Join
- Full Outer Join
- Self Join
- Complex Queries - Joins & Groups Integration
- SET Operators
- Union
- Union All
- Intersect
- Minus
- Subquery
- Single Valued Row Sub Query
- Multi Valued Sub Query
- Views
- Inline Views
- ROWID & ROWNUM
- TOP N Analysis or Complex Inline View
- DDL
- Tables - Create, Alter, Drop
- Indexes - Types, Create, Drop
- Constraints - Not Null, Primary Key, Unique Key, Foreign Key
- Sequence
- Synonyms
- Foreign Keys
- DML operations - Insert, Update & Delete
- Insert, Update, Delete & Truncate
- Common Operations
- Creating Tables using queries
- Bulk Data Inserts using Queries
- Transactions ( T SQL)
- Commit
- Rollback
- Savepoint
- DCL - Grant & Revoke
- Project
- Introduction & Installation
- Introdution
- Installing Python
- Installing Pycharm
- Configurations
- Programming Basics
- Variables
- Data Types
- User Inputs
- Unpacking
- Boolean Practice
- What If, Else and If, Making Decisions
- For Loops
- Break Continue Pass
- Break Vs Continue Vs Pass
- Data Structures
- List
- Tuple
- Set
- Logic Building & Programming
- Pattern Programs
- Prime Number
- Fibonacci Sequence
- Factorial
- Recursion
- Swap 2 Variables
- Data Structures
- Linear Search
- Binary Search
- Bubble Sort
- Functions
- Creating Functions
- Functions Arguments
- Type of Arguments
- Keyworded Variable Length Arguments
- Using Built in Functions
- Global Keywords
- Passing List to Functions
- Anonymous Functions / Lambda
- Filter / Map Reduce
- Decorators
- Modules
- OOPs Programming
- Modules
- Special variable _name_
- Class & Object
- _init_ method
- Constructor, Self and Comparing Objects
- Types of Variables
- Types of Method
- Inner Class
- Inheritance
- Constructor in Inheritance
- Introduction to Polymorphism
- Duck Typing Operators Overloading
- Method Overloading
- Method Overriding
- Iterator
- Generators
- Installing and Configuring MySQL Server
- Creating Database
- CRUD Operations
- Create Tables
- Insert
- Update
- Delete
- Connection to Database from Python
- Writing functions to handle database operations
- CRUD Operations in python
- Beautiful SOUP library
- Parsing HTML files
- Getting Data from Any Website
- 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
- Installing Matplotlib & Seaborne libraries
- Charts & Plots
- Histogram
- Scatter Plots
- Box Plots
- Line Chart
- Bar Chart
- Pie Chart etc.
- 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
- 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
- Connecting to multiple sources
- Different connecting Options(DirectQuery vs Import Data Vs Live Connection)
- Shaping and transforming data with Power Query
- Editing,Merging,Appending queries etc
- Advance Importing techniques without coding
- Data cleaning & Advance data cleaning
- 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
- 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
- A.I. in Power BI
- Advance Report techniques
- Best Practices
- Installation and Configuration
- Introduction to Tableau
- Architecture
- Data Model
- Data Connection with single data sources
- Data Joins
- Live vs extract connection
- 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
- Report designing & exporting
- Case Studies / Project
- Data Visualization & Analytics
-
- Data Sources
- from SQL (MySQL)
- from Flat Files (CSV / Excel etc.)
- from Python
- Pkg1 - Data Analyst - first 4 technologies - SQL, Excel Analytics, Python, Python Analytics and Power BI - 4.5 months
- Pkg2 - Adv. Data Analyst - full course - Pkg1 + Tableau - 6 months
- Customized training / individual courses available
- Pkg1 - Data Analyst - ₹32000(Classroom) / ₹28000(Online)
- Pkg2 - Adv. Data Analyst - ₹42000(Classroom) / ₹38000(Online)
- Customized training available
- can pay in installments
- Upcoming Batches
Tools You Will Learn
Data Analytics Projects
Few of the projects covered in one of our batches
Why get Trained from us ?
9+ yrs in IT Training
Get Trained from Experts
100% Job Oriented Programs
80% Practical
Study Material / Notes
Course Completion Certificate
Live Projects / Case Studies
Interview Preparation
Best Placement Service
1000+ Companies
Personal Attention
Short sized batches (generally 5 to 8)
Weekdays/Weekend Batches available - Upcoming Batch
