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Course Features

  • Lectures 0
  • Quizzes 0
  • Duration 10 week
  • Skill level All levels
  • Language English
  • Students 0
  • Assessments Yes
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Key Features

  • Instructor Led online Training
  • Latest tools and technologies
  • Includes machine learning, deep learning big data, visualization,
  • Refresher on Statistics
  • Hands-on Project

Course Highlights

  • Start online now and attend same Training [in classroom] post lock-down at [No Extra Cost]
  • Learn from experts with more than decades of experience
  • Do Labs sitting @ your home
  • Interview preparation tips
  • FREE Internship to eligible candidates
  • 100% coverage [No shortcut] of Global Certification Contents
  • 100% Hands-on Lab demonstrations
  • Progress check after every module
  • Industry Expert sessions on job Interview
  • Be a part of our Biggest Job Fest post lock-down
  • Unlimited placement calls

Course Highlights

  • Start online now and attend same Training [in classroom] post lock-down at [No Extra Cost]
  • Learn from experts with more than decades of experience
  • Do Labs sitting @ your home
  • Interview preparation tips
  • FREE Internship to eligible candidates
  • 100% coverage [No shortcut] of Global Certification Contents
  • 100% Hands-on Lab demonstrations
  • Progress check after every module
  • Industry Expert sessions on job Interview
  • Be a part of our Biggest Job Fest post lock-down
  • Unlimited placement calls

Learning Data Science Course Overview

We live in the world of data and knowledge. Every business is looking for processing this humongous data and get valuable insights. This makes Data Science is one of the most sought after skills in the market.

This course starts from basics of statistics and probability. It covers key aspects of data science like machine learning algorithms, deep learning, big data, machine learning using big data, business intelligence and so on. Primary implementation would be covered using Python programming language. At the end of course, the learner will be able to do a hands-on project on data science applying all the tools and techniques they have learnt during the training course.

Prerequisites

  • Any graduate who has learnt Mathematics till 12th or equivalent
What this Learning Data Science Course can do for you ?

Build strong skills for data scientist, data analytics role  for the real industry environment.

Facilitate preparation for in demand job roles in latest technology domains like analytics, big data, IoT etc.

Prepare you for job competencies required to handle data processing, analytics, data visualization effectively.

Promises growing career in latest technologies like Big Data, machine learning, AI, Data Science.

Accelerate your professional and financial growth by honing your skills in data analytics which are in demand for Today’s job market.

Who can do this course?
  • Who want to specialize in data science, big data analysis, data analytics.
  • Working professional like developers, testers, database develoers, DW and BI professionals
  • Final year students or graduates BE, BSc, MCM, MCA, MCS
  • Students who want to do projects in data science, big data, IoT etc.
  • Professionals who studied statistics and have interest in developing career in it
  • Any graduate who aspires to do career in Data Science

Learning Data Science course Learning Outcome

Introduction to Python

Introduction

Environment Setup

Anaconda Package Manager

Python Basics

Python Functions

Python NumPy

Pandas

Statistics and Probability

Statics Basics

Mean, Median, Mode

Variation and Standard deviation

Data distributions

Percentiles

Covariance and Correlation

Probability

Conditional probability

Regression: Linear and Polynomial

Machine Learning

Supervised Learning

Unsupervised Learning

Bayesian Algorithm

K-means Clustering

Ensemble learning

Support vector machines

Recommender Systems

User-based collaborative filtering

Item based collaborative filtering

K-nearest neighbors

ML on Big Data

Introduction to Big Data

Introduction to Hadoop

Working with HDFS

Introduction to Apache Spark

Spark RDD

Introducing MLLib

Decision tree in Spark

K-means clustering in Spark

Apache Mahout

Deep Learning   Pre-requisites

Introduction to Deep Learning

Introduction to Tensorflow

Deep learning tools.

BI

Introduction to ETL

Introduction to Datawarehousing

Introduction to BI

Various BI Tools

BI using Tableau

Introduction to Matplotlib (Python)

Introduction to R

Project work

Project based on tools and Techniques learnt during the course

I have completed SA1 & SA2 for RedHat8. The training session was good, now looking forward and waiting for SA3 batch. -Supriya

Mujaheed Sir seems to be a very good teacher, he clears doubts & is focused on the practical knowledge. He expects everyone to perform commands while teaching. Overall Sir teaches nicely. -Chetan Nair

Thank you very much for your help and giving us the best teacher for Linux. I really appreciate the way of teaching used by Sneha Mam. She is one of the best teacher I have ever met, virtually. She always uses to explain each and every topic in detail, that helps us to understand the uses and the function of the topic. She also uses examples to give better understanding. However, If someone have any doubts or don't understand the topic she use different - different way to clear the doubts. After completing the topic, she also uses to give us the assignments. I am thankful that I got the best teacher like her. -Sushant

Our batch is going good. The way Sneha mam is teaching and clearing all our doubts are the most good thing in the training session. -Supriya

Very useful to discuss practical problems. Interactive, realistic, good structure. Very useful practical approaches. Role play. -Hitakshi

Data Science Course Location

Karve Road

Texceed, Panchsheel,
42/16, Erandwane,
Income Tax Lane,
Off Karve Road,
Pune-411004.

Chinchwad

Office No. 218, 220 & 221, 2nd Floor, Laxmi Complex,
Old Mumbai-Pune Road, Near McDonald’s, Chinchwad,
Pune – 411019.

Viman Nagar

Texceed, Aswani Chambers,
Opp. Telephone Exchange, 2nd Floor, Plot No. 45-B,
Viman Nagar,
Pune – 411014.

Thane

Texceed, Kashi Ratna Bhavan 1st floor, Near Cidco Bus stop and Thane College Chendani Bunder Road, Opp Koli Samaj Hall,
Thane (W) – 400601.

Vashi

Texceed, Real Tech Park, 8th Floor, 812, 813 & 814, Opp Four Point Hotel,
Near to Inorbit Mall, Vashi, Navi Mumbai – 400703.

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