Digifine

Master Certification in Data Analytics Course with Guaranteed Placement

  • Internationally Recognized
  • 80% Practical & 20% Theoretical Training
  • Comprehensive & Unique Modules
  • Highly Experienced Trainers
  • Global Industry Exposure
  • Internship & Job Opportunities
Data Analytics Program - Download Brochure
  • Industry-Leading Softwares
  • Supportive Learning
  • Environment
  • Limited Batch Sizes
  • Flexible Timings
  • Work With Creative Minds
  • Premium Institute
  • Get Industry Exposure
  • Learn from Industry Perspective
  • Portfolio Building
  • In-house Trainers
  • Certified Industry Experts
  • Outstanding Student Support
  • Expert Visiting Faculties

  • Resume Building
  • Portfolio Building
  • Career Guidance & Mentoring
  • Mock Interviews
  • 100% Placement Assistance
Data Analytics Program - Download Brochure

WHAT WILL I LEARN?​

With the Digifine Data Analytics Master Certification Course at Digifine, you can master both front-end and back-end development with a 20% theoretical and 80% practical approach. This program offers hands-on experience through live projects and real-world applications to help you acquire industry-relevant skills and techniques. Taught by highly experienced faculty, the course provides holistic guidance to help you start your journey as a proficient and in-demand Python Full Stack Developer

  • International Certification
  • Unique Modules
  • Expert Faculty

There are no fixed eligibility criteria for this course. All you need is creativity and willingness to learn!

However, some very primary prerequisites are – 

  • Basic computer knowledge
  • Openness to learning

Following are some of the assessment stages for a candidate’s admission into the course

    1. Enquiry
    2. Documentation verification
    3. Enrollment 
  • Resume Building
  • Masterclass for Interview Etiquette & Negotiation
  • Mock Interviews
  • Interview Scheduling

Master In Data Analytics Course Modules

  • History of Python | Why to learn python

    How is Python Different? | Installing Python

  • Using the interpreter

    Integrated Development Environments (IDE) How to run

    Python programs?

  • Variable | Keywords | Statements & Comments

    Indentation | Data types | Static Typing vs Dynamic

    Typing Input and output

  • Arithmetic operator | Comparison Operator Assignment Operator | Logical operator Bitwise operator Identity Operator

If statement | If – else | If – elif -else | Nested if – else

while loop | for – in loop | Nested for loop
Nester while loop | Loop with else | Pass statement
Break and continue

  • Basics Defining function | Function call Return statement

    Function with parameter and without parameter

    Function parameters Call by value or call by reference

    Local and global variable

    Recursion, Anonymous (lambda) function

    User define functions | Examples

  • Defining module | How to create module

    Importing module

  • Defining package | How to create package

    Importing package | Installing third party packages

  • List | Tuple | Dictionary | Set

Numpy | Scipy | Pandas | Matplotlib

Course Review | Understanding the versions of R
Choosing the Best Version | Downloading R Installing R
Understanding R Environment

Complex Data Types in R: Vectors, Arrays, Matrices, Lists
and
Data Frame

Getting Data into R from various Statistic Tools,
Websites, CSVs,
Databases etc – Familiarizing with Data Sets – Working
with Data Sets – Programming R with Control Flow &
Looping con-
structs – R Procedures

Graphical Parameters in R Base – Base Plotting using Bar
Charts, Box Plots, Histograms, Pie Charts & Use Cases Understanding & Working with Graph Libraries.

Connect data to Tableau | Converting Data into Bars, Column, Lines, Pie Charts,
and more | Color Coding and Text Labels | Auto-calculation: Running Total, Moving Average, and
more | Building data driven analytics dashboard

Analysing Charts: Pie, Bars, Area and Lines
Data filtration
Arithmetic: Adding number fields together
Aggregates: Calculating Totals, Average, Maximum,
Minimum, and more

Microsoft Power BI is a suite of tools used to

analyze your data and extract business insights

by building interactive dashboards. This Power BI

training course will help you get the most out of Power

BI, enabling you to solve business problems and

improve operations. This Power BI training course will

help you master the development of dashboards from

published reports, discover greater insight from your

data with Quick Insights, and learn practical recipes for

the various tasks that you can do with Microsoft Power

BI—from gathering your data to analyzing it. This course

also contains some handy recipes for troubleshooting

various issues in Power BI.

Tools & Programming Languages Covered in Our Data Analytics Course

Data Analytics Course Hands-on Projects

Game: Tick Tac Toe
Tick Tac Toe is a game we have all played, and now it’s time to build one. Single Player, Multiplayer, and Winner board messages and points accumulate in the system.

Static WebSite
Prepare a clone of a static website using HTML, CSS, Bootstrap, and ReactJS Framework, which will give you a complete hands-on experience with the front end.

Clone: Video Player
Create a clone of YouTube with a real-time working video player app with all the functionality of play, pause, forward, rewind, mute, volume up and down, and many more.

Clone: Dynamic Website
Prepare a clone of a dynamic website using HTML, CSS, Bootstrap & ReactJS Framework for Front End and Programming Languages for the backend development.

Web App: TastyMart
Build an e-commerce web-based application with all the functionalities such as purchasing, adding vendors, adding to carts, Admin, Sales Panels, inventory management, order tracking, and analytics.

Alice in the Wonder Land
Create a web application to manage resources like employee attendance and content for marketing and hiring purposes.

Designation - What Can I Become

Business Analyst

Data Analyst

Data Architect

Market Analyst

Quality Analyst

Financial Analyst

Operations Analyst

Data Scientist

Why choose Digifine as your Data Analytics Course?

At Digifine Academy’s Data Analytics training, you gain access to a globally recognized program featuring comprehensive and cutting-edge modules. This course is designed to provide practical training delivered by industry experts through hands-on live projects and real-world scenarios. With multiple professional certifications and dedicated placement support, Digifine’s Python Full Stack Developer course stands out in the industry. Learn in an encouraging and supportive environment to elevate your career and become a skilled and job-ready Python Full Stack Developer.

Placement Support – including portfolio-building, resume-building & mock interviews

Global Recognition – industry-recognized courses designed by international standards

Practical Python Full Stack Development Course – learn through live projects and a hands-on approach to gain industry exposure.

Highly experienced in-house & visiting faculty – industry experts with years of expertise in the Python Full Stack Developer training field

Post-course Support – Digifine is here to help you even after you have graduated from the institute. Get the best guidance without hesitation from friendly and encouraging trainers at any time.

Digifine Master Certification in Python Full Stack Developer Course entails 5-6 months of intensive training on detailed topics, tools and techniques.

Who can enroll for the Master Certification in Data Analytics Course?

Digifine Academy’s Master Certification in Data Analytics Course is designed to suit the needs of every individual. Whether you’re a school or college student, working professional, entrepreneur or are simply interested in learning digital marketing, this Digital marketing training institute in Pune has trainers who will help you learn core concepts and get proficient with all the industry-relevant essential tools and technologies. Step out of your comfort zone and excel at digital marketing with the best digital marketing courses in Pune offline.