Learn Data Science Now & Pay as you Earn!!


Master all 3 essential elements – Statistics, Tools & Business Knowledge – with this complete hands-on & comprehensive program

Deep Dive in Data Analytics

Join Booming Data
Analytics Industry

SkillEnable focuses on developing you as the prime target of recruiters by developing  interpersonal and interview skills along with regular curriculum.

Become a Target Hire

SkillEnable focuses on developing you as the prime target of recruiters by developing interpersonal and interview skills along with a regular curriculum.

Industry Relevant Tools

Get hands-on learning experience of various relevant industry tools and also practice real-life cases studies and Capstone projects using the Latest Data Science tools.

Tailor-made Curriculum

Individual candidate focused curriculum and soft skill enhancement.

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Who is it for?

Recommended For:

  • Data Analytics Enthusiasts

  • Graduates

Eligibility Criteria:

  • Individuals with basics knowledge in Programming & Statistics

  • Should be ready for an extremely intensive and demanding program.

  • Should be a motivated individual who is looking to get hired as a Data Analyst.

  • What is Data Analytics?

  • What does Data Analytics. Involve?

  • Tools of data Analytics.

  • What is Machine Learning?

  • Where is Machine Learning used?

  • Job Roles

Unit 1 

  • Introduction to Tableau & Installation

  • Versions of Tableau & its' Utility
  • Importing Data & User Interface

  • Basics of Excel

  • Dimension & Measure

  • Introduction to Tableau Commands

  • Discrete Vs. Continuous Data

  • Aggregations in Tableau

  • Creating Charts

  • Types of Charts

  • Bar Charts

  • Stacked Bar Charts

  • Line Charts

  • Scatter Plot

  • Area Charts

  • Pie Charts

  • Tree Maps

  • Heat Maps

  • Bubble Charts

  • Bullet Charts

  • Box & Whisker plots

  • Pareto Charts

  • Histograms

  • Gantt Charts

  • Donut Charts

  • Funnel Charts

  • Waterfall Charts

  • Tableau Storyline

  • Set, Parameters & Groups

  • Tableau IF Statements

  • Case Statements of Tableau

  • Tableau Functions

  • String Function

  • Table Calculations

  • Rank Functions

  • Aggregate Functions

  • Date Functions

  • Window Sum

  • LOD Expressions

  • Look Up Functions

  • Fixed Functions

  • Count Distinct

  • Windows Functions

  • Sortings

  • Filters

  • Types of Filter

  • Dimension Filter

  • Measure Filter

  • Visual Filter

  • Context Filter

  • Create Dashboard

  • Design Dashboard

  • Adding Filters in Tableau Dashboard

  • Tableau Workbook

  • Reporting Tools

  • Story with Dashboard

  • Interactive Filter

  • Data Source Filter

  • Parameter Filter

  • Edit Data Source

  • Unions

  • Joins

  • Data Blending

  • Creating Set in Tableau

  • Pivot in Tableau

  • Forecast in Tableau

  • Map Layers

  • Tableau Group By

  • Hierarchy

  • Tableau User Group

  • Introduction to Tableau Prep

  • Data Connections

  • Visual Analytics and Case Study Problem statement discussion

  • Case Study and assessment solution discussion

  • Dashboard & Stories, Advanced Charts and Case Study Problem statement discussion

  • Case Study Presentation, Revision, Interview Preparation

Unit 2  Week 01-03 

  • Introduction to SQL Server

  • Oracle Vs. Microsoft SQL Server

  • Installing and Configuring SQL Server

  • MS Server Management Studio Instatllation

  • Working with Databases and Storage

  • Planning and Implementing a Backup Strategy

  • Restoring SQL Server 2014 Databases

  • Importing and Exporting Data

  • Monitoring SQL Server 2014

  • Tracing SQL Server Activity

  • Managing SQL Server Security

  • Performing Ongoing Database Maintenance

  • Industry based Projects

  • SQL Server Developments (T-SQL) *Topics provided below

  • 1. T-SQL - OVERVIEW

  • 2. T-SQL SERVER - DATA TYPES

  • 3. T-SQL SERVER - CREATE TABLES

  • 4. T-SQL SERVER - DROP TABLES

  • 5. T-SQL SERVER - INSERT STATEMENT

  • 6. T-SQL SERVER - SELECT STATEMENT

  • 7. T-SQL SERVER - UPDATE STATEMENT

  • 8. T-SQL SERVER - DELETE STATEMENT

  • 9. T-SQL SERVER - WHERE CLAUSE

  • 10. T-SQL SERVER - LIKE CLAUSE

  • 11. T-SQL SERVER - ORDER BY CLAUSE

  • 12. T-SQL SERVER - GROUP BY CLAUSE

  • 13. T-SQL SERVER - DISTINCT CLAUSE

  • 14. T-SQL SERVER - JOINING TABLES

  • 15. T-SQL SERVER - SUB-QUERIES

  • 16. T-SQL SERVER - STORED PROCEDURES

  • 17. T-SQL SERVER – TRANSACTIONS

  • 18. T-SQL SERVER - INDEXES

  • 19. T-SQL SERVER - SQL FUNCTIONS

  • 20. T-SQL SERVER - STRING FUNCTIONS

  • 21. T-SQL SERVER - DATE FUNCTIONS

  • 22. T-SQL SERVER - NUMERIC FUNCTIONS

  • 23. T-SQL SERVER – Create Stored Procedure

  • 24. T-SQL SERVER – Alter Stored Procedure

  • 25. T-SQL SERVER – Delete Stored Procedure

  • 26. T-SQL SERVER – Create View

  • 27. T-SQL SERVER – Alter View

  • 28. T-SQL SERVER – Delete View

  • Normalizations

  • ER Diagrams in SQL Server

  • Industry based Projects

  • Introduction to Python

  • Computer Programming Data Types

  • Variables

  • Basic Input-Output Operations

  • Basic Operators

  • Boolean Values

  • Conditional Execution

  • Loops

  • Lists

  • Logical and Bitwise Operations

  • Functions

  • Tuples

  • Dictionaries

  • Data Processing

  • Modules

  • Packages

  • String and List Methods

  • Exceptions

  • The Object-Oriented Approach: Classes

  • Methods

  • Objects and the Standard Objective Features

  • Exception Handling

  • Working with Files

Unit 3 Week 04-07

  • Introduction to Python

  • Computer Programming Data Types

  • Variables & Data Types

  • Basic Input-Output Operations

  • Basic Operators

  • Boolean Values

  • Strings

  • Lists & Tuples

  • Dictionary

  • Sets

  • Conditional Expressions

  • Loops

  • Logical and Bitwise Operations

  • Functions & Recursions

  • File Input & Output

  • Exceptions handling

  • Object Oriented Programming

  • Virtual environment & Python libraries

  • Some special functions in python e.g Lambda, bin, format, map, filter, reduce

  • Web scraping

  • Ipython

  • Jupyter

  • NumPy Array

  • Sorting Array

  • NumPy Universal Functions

  • Array Indexing: Accessing Single Elements 

  • Array Slicing: Accessing Subarrays

  • Reshaping of Arrays

  • Array Concatenation and Splitting 

  • NumPy Arrays: Universal Functions 

  • Aggregations: Min, Max, and Everything in Between 

  • Sorting Arrays

  • Fast Sorting in NumPy: np.sort and np.argsort 

  • Partial Sorts: Partitioning 

  • Structured Data: NumPy’s Structured Arrays 

  • Pandas Series Object 

  • Pandas DataFrame Object 

  • Pandas Index Object

  • Data Indexing and Selection

  • Operating on Data in Pandas 

  • Handling Missing Data

  • Hierarchical Indexing

  • Combining Datasets: Concat and Append 

  • Combining Datasets: Merge and Join

  • Aggregation and Grouping 

  • Pivot Tables 

  • Vectorized String Operations

  • Working with Time Series 

  • Motivating query() and eval(): Compound Expressions 

  • pandas.eval() for Efficient Operations 

  • DataFrame.eval() for Column-Wise Operations 

  • DataFrame.query() Method 

  • Visualization with Matplotlib

  •  Line Plots 

  • Scatter Plots

  • Scatter Plots with plt.scatter

  • Visualizing Errors 

  • Density and Contour Plots

  • Histograms, Binnings, and Density

  • Customizing Plot Legends, Colorbars

  • Multiple Subplots 

  • Text and Annotation

  • Configurations and Stylesheets

  • Three-Dimensional Plotting in Matplotlib

  • Basemap

  • Visualization with Seaborn

  • Matplotlib Vs. Seaborn

Unit 5 Week 11 - 15

  • Quantitative Reasoning

  • Logical Reasoning 

  •  

    Critical Reasoning

  • Integrated Reasoning

  • Verbal Reasoning

  •  Integrated Reasoning

40 Hours Of Aptitude

  • ​How to build Resume

  • How to write Cover Letter

  • LinkedIn Profile Building Session

  • Git Hub Profile Making

  • How to do Job Application 

  • How to give PPT Presentation

  • Telephonic Etiquette

  • Email Etiquette

  • Mock Interviews

20 Hours of Soft Skills Training

Apply for our Deep Dive in Data Analytics Course.

Appear for your Data Analytics Aptitude test followed by a Personal Interview.

Selected Students will receive the ISA Track (a simplified version of the ISA Agreement) along with their Minimum Guaranteed CTC amount.

Students will have to pay a registration deposit of RS 10,000 + GST (Fully Refundable after ISA Obligation is fulfilled)

Apply for the Premium Data Analytics Program

Start your Data Analytics Training

Train with us 24 weeks on 03 industry-relevant tools.

Prepare for Mock Interviews and Placement Process.

Intern for 3 months from week 13- 24 as a part of your course amongst our 500+ Hiring Partners to gain relevant industry experience.

SkillEnable's Placement Fair

Tool focused interview preparation every weekend during the course.

Resume building, GitHub profile building, Cover Letter Preparation, Presentation skills, Business Communication Skills Training.

Personal Placement Mentor for each student.

Get referred to our 500+ Hiring Partners.

Land your Dream Job

Work with the best companies in the country

Candidates with 85% + will only be eligible for the ISA mode of payment

Program Road Map!(For ISA)

Learn now pay later

Training from highly experienced instructors.

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100% live online learning.

Learn now pay later

Get industry-endorsed certification from SkillEnable 

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180+ hours of live exhaustive training  sessions split over 24 weeks.

Learn now pay later

Active job referrals from 500+ Fortune Companies.

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40 hours of exhaustive holistic development training and 20 hours of SoftSkill Training 

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Learn over 07 industry-relevant tools.

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100% Placement Assistance

Course Details

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Why Income Share Agreement is Unique & Helpful?

  • ISA  is an arrangement where you get an opportunity to Learn now and pay the full course fee only after you start earning a sustainable amount of income which is the minimum guaranteed CTC for us. 

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  • ISA saves you from worrying about traditional education loans or using your savings and getting trapped in debts, in case, you do not get a high-paying job.

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  • You do not have to pay us anything if you do not start earning with a minimum guaranteed CTC.

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  • Course fee payment is directly linked to the outcome of the course.

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Get Certified in 6 Months!

Start Learning Today!

  • Globally recognized certification from SkillEnable.

  • Pay 0 tuition fee until you are placed with a Minimum Guaranteed CTC.

  • Earn between 4 LPA- 18 LPA.

  • 100% live online Training.

  • Taught by 15+ years of experienced Industry Experts.

  • Apply your skills with hands-on projects & Case Studies.

  • No prior coding experience is required to do this course. 

  • Industry Approved Certificate upon completion.

Unbeaten Salary

Data is the fuel of the 21st Century. The demand for data scientists is high, making it a lucrative career option.

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Rising Demand

With ever-evolving consumption patterns and changing market scenarios - Companies are rapidly putting Data Analysts at the core of their business and operation.

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Top Skill

According to LinkedIn In 2020, Analytical, Data-Driven Skills like Data Analytics reign supreme.

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Evolving Discipline

Increasing use of Data Analytics in areas of Healthcare, Education, Agribusiness industries creates a huge demand for Data Analyst.

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Why Data Analytics Training? 

Learn now pay later

Top Companies that Hire From Us!

SkillEnable has 500+ Hiring partners who have hired our students for roles like Business Analyst, Data Analyst, Data Scientist, Data Associate, Python & ML Expert, Subject Matter Expert in Data Science, Product Managers, Junior Manager, Financial Analyst & Quality Analyst.

Join #1 Data Science Training & Placement Institution in India

 

SkillEnable's Minimum Guarantees:

 

What's better than guaranteed success?

 

At SkillEnable, promises come before payments. We charge fees only when you start earning equal to or more than the Minimum guaranteed CTC.

For Freshers

  • 4LPA - 18LPA

For Working Professionals

  • 10% - 25% hike or between 4LPA- 8LPA whichever is maximum

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Program Features!

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Registration & ISA Signing

Students selected by a final interview by experts will sign the ISA and start the course.

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Online Assessment & Interview

Students will go through an assessment on Quantitative, Critical Reasoning, and Interpersonal skills followed by an Interview.

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Application

Filling an extensive application forms with academic, professional  and personal background.

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Document Verification 

Students will have to submit documents for verification for their credit profiling.

Our Selection Process

It's an Intensive and Elite 6 Months Program with an Extensive Selection Process.

PAYMENT PLANS