Professional Training

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Data Analytics Training

Course Detail Image
Course Detail
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

COURSE BENEFITS

  • Considering is your last training: We assure for knowledge, so once your get job then your training will end.
  • Know your skills:Choose/Suggested a technology what you can do best.
  • Authenticate your skills: Entire course is on industrial practice so awarded with experience latter on placement.
  • 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.
  • 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 TRAINING(CODE :- PTP 4)

  • 4 months training duration

  • Monday to Friday (04 hours / Day)

  • Only practical based training

  • Individual 1 to 1 training

  • Professional developers as trainer

  • Stipend provide based on performance

  • Confirmed job – on-job training program

8 MONTHS TRAINING(CODE :- PTP 8)

  • 8 months training duration

  • Monday to Friday (Regular office time)

  • Live & Direct work with team.

  • Stipend during training, Attractive salary offer.

  • +Unlimited placement, Dual job opportunity.

  • Get your first job offer on the day of joining.

  • IN as fresher OUT as experienced professional developer

GLOBAL ACCREDITATIONS

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