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121730

Training Hours

112

Batches Conducted

4K +

Candidates Trained

10K +

Candidates Trained

2.4K +

Placed Trainees

900

Global Recruiters

04

Metro Cities Covered

CRASH COURSE in DATA SCIENCE

1.5 Months | Inr 18500/-

ADVANCED TRAINING in DATA SCIENCE

2.5 Months | Inr 22500/-

POST GRAD. DIPLOMA in DATA SCIENCE & ANALYTICS

3 Months | Inr 25500/-

MSc. PROGRAM in DATA SCIENCE & ANALYTICS

4 Months | Inr 35500/-

WHY ENROLL WITH US

100% Practical training

Hand crafted curriculum

24/7 Online learning platform

tool based learning

Progress tracking

daily assignments

diversified case studies

Mentor's connect

International certification

e-BOOKS FOR FREE

TechnoCloud Global overcasts it’s most awaited reading material partnered by Top Publications and distributors nation wide. These E-Books and materials are helpful any trainee who Aspires to become a Data Scientists or is certainly in the field of study and wants to enhance their Knowledge. Grab the Best of what we have for you in store before the link expires.

COURSE CURRICULLUM

10

MODULES

5

SPECIALIZATIONs

99 Days

duration

300h

hours

English

Language

Classroom

medium

Overview

TechnoCloud Global is driven by Industry professionals offering proficient data science course curriculum which is propelled by programmers and experts, for aspirants to enhance their  skills and insight into the field of data analytics. We are one of the biggest endeavors devoted towards offering the best training. This course is designed to evolve the critical thinking and learn the concepts in much broad and practical way. At TechnoCloud Global, we believe in bestowing top notch training with the most ultra-modern Analytics learning and  cultivating trainees to become experts and trying to build their high development Analytics career.

Our Industry Mechanised course welcomes entry level individuals and programmers and offers them an in-depth programs with a life time learning exposure which develops the analytical skills . Our qualified mentors have extensive experience, skills and learning to teach you all that you have to know in order to work in analytics industry, from basics to the intricate analytics training.

We make the training easier and more practical relevant so that even a beginner in this field feels at easy and entices in learning the concepts. This course has been designed to build the strong conceptual based learning and bridging  the concepts learned, on real time Industrial projects for deeper understanding. We believe in education for all and provide the right guidance as per the aspirant’s profile.

Completing this course will help you:

  • Get a Brighter Career quickly
  • Start your Data Agency
  • demonstrate the ability to translate data into clear, actionable insights
  • ability to use technical skills in predicative and prescriptive modeling to support business decision-making
  • ability to think critically in making decisions based on data and deep analytics
  • demonstrate effective communication skills that facilitate the effective presentation of analysis results

KNow in depth about the program:

Kick Start your Career in Data Science with the best in class Trainers experienced in the analytics domain. Know how to master your skills with our Data Science Program with the best of the Industry integrated curriculum designed just for an Enthusiastic Aspirant like you.

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  • R FOR DATA SCIENCE
  • DATA VISUALIZATION USING R
  • STATISTICAL LEARNING
  • ANALYSIS OF VARIANCE AND CO-VARIANCE
  • R Installation 
  • R Studio 
  • Understanding Data Structures in R – Lists , Matrices , Vectors 
  • R Program on IDE 
  • Basic Building Blocks in R
  • Vectors in R Basic Operations – Operators and Types
  • Handling Missing Values in R 
  • Sub-Setting Vectors in R
  • Matrices and Data Frames in R 
  • Logical Statement in R 
  • Installing of Different Libraries
  • Fundamentals of Graphics
  • Bar Charts
  • Histograms
  • Pie Chart 
  • Scatter Plot
  • Line Plots and Regression
  • Word Clouds 
  • Box Plots 
  • GGPLOT2
  • TABLEAU BASICS
  • BEST PRACTICES FOR REPORTING
  • CAPSTONE PROJECT
  • Inventory Foundation
  • Competitor Research
  • Approaching Suppliers
  • Product Execution
  • Introduction to Marketplace
  • Registration on Marketplace Listing
  • Products on Marketplace Shipping & Logistics
  • EXPLORATORY DATA ANALYSIS
  • REGRESSION
  • LOGISTIC REGRESSION
  • DECISION TREES
  • BASICS OF PYTHON FOR DATA SCIENCE
  • DATA USAGE
  • EXPLORATORY DATA ANALYSIS
  • TIME SERIES FORECASTING
  • UNSUPERVISED LEARNING
  • DIMENSIONAL REDUCTION
  • INTRODUCTION TO MACHINE LEARNING
  • SUPERVISED LEARNING
  • LOGISTIC REGRESSION
  • RANDOM FOREST & DECISION TREES
  • INTRODUCTION TO BI
  • BEST PRACTICES FOR REPORTING
  • Specialized Training on Ecommerce Websites
  • Amazon Partner
  • Amazon Web Seller
  • Amazon Partnered
  • Dropshipping Integration

TOOLS YOU LEARN DURING THE COURSE:

Download the other Modules FROM here

WHO CAN DO ATTEND THE PROGRAM

You might have come across several online resources which state that becoming a data scientist requires a candidate to possess expert skills in various fields like software development, database query languages, machine learning, programming, mathematics, statistics, data visualization, etc. This seems like a lot – and many do get discouraged once they go through this immense list of skills that they are told is necessary to become a data scientist. This, however, is not the case – as many senior data scientists, who teach at DeZyre say-One need not possess a lifetime worth of data scientist skills to start learning data science because “Data Scientist” is like a blanket job title where each one is of a different hue and share similar conceptual models and philosophies. There are different types of data science jobs one can apply for, by understanding the data science job descriptions clearly. Data Scientist skills are so varied, that it needs to be understood as to which skills one already possesses to become a data scientist and which ones can be developed over time to match the open data science jobs. However, there are certain prerequisites to fulfil before one can begin their data scientist training

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Bachelors Degree in Engineering

Considering the program to be defined in the streamline of engineering, thus a Bachelors degree in technical or engineering is most suitable to start your carer in  Data Science.

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Masters in Commerce & Statistics

Visualization based tools needs  Statistics to a major extent to present the insights of the analysis conducted, hence, a degree in commercial and stats is the demand to learn Data Science.

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Computer Application Graduate

Coding for analytics of a data is the most integral aspect in Data Science. A specialized graduate degree in computer application is quite an apt  to excel in this type of course

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prominent Degree in Mathematics

fundamentals in mathematics is quite crucial for an aspirant to learn Data Science. Any relevant degree done prior to the Data Science course in mathematics and applied quant is quite helpful 

FEATURES &  FACILITY

A quality in training is just not sufficient to achieve an aspirants learning goals. Training room design is so much more than configuring a space and making sure that all of the latest audio/visual technology is in place. While necessary, the technological tools for training are just a part of the overall picture. There are a variety of items to consider such as the type of furniture needed, the size of the space, the acoustics involved, the location within a building, and much more.

Even the best professional development programs can fall flat if they take place in a substandard, non-user-friendly environment. We recognize the value of providing our trainees the best training room features available, to improve the overall learning experience and boost learners’ knowledge retention.

So what environment is most conducive to learning? The ideal learning environment is a dedicated space designed for training. It’s the difference between a room to train in and a dynamic learning environment designed to promote engagement and collaboration—as well as enhanced knowledge retention. The actual physical space devoted to training should meet some basic criteria when it comes to accessibility, layout, technology and even climate.

  • PROJECTOR based Learning
  • Internet accessibility
  • T.V for live classes
  • Independent seating
  • LAPTOP for practice
  • Desktop for Learning
  • 24X7 Power backup
  • ample Charging Points
  • Air Conditioned Rooms
  • Ambient Lighting

LOOK INTO OUR PLACED TRAINEES