Data Analytics Training
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| Course Level: | Beginner to Advanced |
| Course Duration: | 4 Months | 8 Months |
| Training Days: | Monday to Friday |
| Training Time: | 4 hours / Day | Regular Office Time |
| Course Mode: | IN-class (Offline) at our premises |
| Course Type: | JOB oriented training |
| Course Start On: | On Registration | Admission |
| Class Size: | 1 to 1 | No Groups| No Batch |
DATA ANALYTICS COURSE BENEFITS
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Considering is your last training: We assure for knowledge, so once your get job then your training will end.
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Know your skills:Choose/Suggested a technology what you can do best.
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Authenticate your skills: Entire course is on industrial practice so awarded with experience latter on placement.
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Be highest paid fresher:We invented a unique model to get the job with highest starting salary, if you get good offer then US, you can join to them.
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We don’t bind your ability: No specific course content, learn as much as you can, beyond the topics it helps to become logically sound.
Data analysis is the process of extracting information from data. Data analysis can involve data mining, descriptive and predictive analysis, statistical analysis, business analytics and big data analytics, Any graduate can enroll for this training program.
Relational Databases
Primary Key, Candidates Key and Foreign Key
All type of Joins
Creating SQL Select/delete/updates/edit Queries
Working with Null and Data Types
Using JOIN To Query Multiple Tables
Operators and Functions
Data Aggregations
Using Table Expressions
Pivot Data and Grouping sets
Programming with SQL
Error Handling and Exceptional Handling
Data analysts use Excel in much the same way that you might use the calculator app on your iPhone. When you aren't sure what is going on with a dataset, putting it into Excel can bring clarity to the project.
Creating and Filtering Tables
Pivot table and charts
Calculations to existing data in Tables
Aggregation Data with Pivot tables
Conditional Formatting, Text, IF Formulas etc
Overview on all Basic function with Excel files with graphs
Overview of Data Analytics
Descriptive Analytics
Predictive Analytics
Diagnostic Analytics
Prescriptive Analytics
Types of Data to analyses
Getting started with HTML/CSS
Overview Web Technology and Data form
Types of Source and data important to Business Analyst
Getting started with Python
Core Python Programming
Collections in Python
Functions / methods
Python Packages and Modules
Data Normalization in Python
Data Binding with Python
Data Formatting with Python
Data Analytics with Python
Model Development and Customization
Data Analysis
Correlation and Group By data
We have Internship / project training for you with unique practical based learning that's make you Industry ready. Step in as Intern and step out as professional. First learn how industry works and its standards. Then complete your project Under experienced Developer’s guidance for practical industry exposure
Make a plan about how we can achieve our goal with deadline
Discussed & finalize Project definition
Define difficulties and solutions for project definitions
Research Analytics on project definition
Prepare Documents as : Wireframing, Document of Requirement, Target Audience
Any graduate Can make their career into Data Analyst/Data science.
LEARN WHICH BEST SUITS YOU
No limits on learning, no limits on duration, no limits on salary, no limits on interviews, learn as much as you can & get ready for your first job.
4 MONTHS DATA ANALYTICS TRAINING(CODE :- PTP 4)
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4 months training duration
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Monday to Friday (04 hours / Day)
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Only practical based training
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Individual 1 to 1 training
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Professional developers as trainer
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Stipend provide based on performance
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Confirmed job – on-job training program
8 MONTHS DATA ANALYTICS TRAINING(CODE :- PTP 8)
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8 months training duration
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Monday to Friday (Regular office time)
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Live & Direct work with team.
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Stipend during training, Attractive salary offer.
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+Unlimited placement, Dual job opportunity.
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Get your first job offer on the day of joining.
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IN as fresher OUT as experienced professional developer
GLOBAL ACCREDITATIONS
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