Course in Data Science

Top Courses in Data Science

When students obtain a degree, they must follow a certain program of study, which is referred to as a course in certain countries. A course of this sort can take two to seven years to complete. A course could also refer to a single class, which would last a few weeks to a year.

What is a course in data science? A course in data science prepares students to extract knowledge from either unstructured or structured data through certain systems and processes. This course could include studies in predictive analytics, statistics, data mining, machine learning, coding, functional programing and mathematical modeling. The studies may focus on big data, but are usually not restricted to it. The course may include research, lectures, discussions and dissertations, but the exact requirements vary from school to school.

Data science is important for businesses and applied or academic research. Once this program of study is completed, a student may be prepared to enter a wide variety of industries. Some companies may be willing to give mid- to high-level management positions to someone with this education.

As you try to decide what program to pursue, you need to consider the tuition. The cost of a course in data science varies based on the institution, where you live, the location of the school and how you take classes. You can get an exact number by contacting a specific university.

What kind of job does this education prepare you for? Someone with this education could go on to be a data analyst, statistician, data architect, business analyst, database administrator, data manager or data scientist. The role you get within a company may depend on your past experience and the professional goals you have for yourself. Financial, social network, data science, engineering and search engine companies may hire people with this education.

If you know this is the path for you, you need to apply. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

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Data Science Masters Course

ACADGILD
Online Full time Part time 24 weeks March 2019 USA USA Online + 1 more

The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data. [+]

Intensive 6-Month Program Collaborative Assignments with Mentors Master Statistics, Machine Learning, Deep Learning, and AI Learn Tools like Python, TensorFlow, Spark, R, and Tableau

DURATION

24 Weeks

EFFORT

10-15 Hrs/Week

CAREERS

Business Analyst, Data Analyst, Data Architect, Data Administrator, Data Manager, Data Scientist

The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data.

Why You Should Take This Course Acadgild Experience What You Will Learn in This Course Programming in Python and R Python & R basics Conditional and loops String and list objects Functions & OOPs concepts Exception handling Database programming*Sessions on R are not live, but self-paced Data Wrangling Reading CSV, JSON, XML and HTML files using Python NumPy & pandas Scipy libraries Loading, cleaning, transforming, merging, and reshaping data Statistics and Probability Descriptive statistics Inferential statistics Hypothesis testing Statistical concepts in Python Machine Learning Models with Python Building models using algorithms Linear and logistics regression Decision trees Support vector machines (SVMs) Random forests XGBoost K nearest neighbor & hierarchical clustering Principal component analysis Text analytics and time series forecasting Deep Learning using TensorFlow Introduction to deep learning Understanding neural network through TensorFlow Convolution & recurrent neural networks Data Visualization using Matplotlib and Tableau Interactive visualizations with Matplotlib, Data visualizations using Tableau Tableau dashboard and storyboard Tableau and R integrationSessions on Tableau are not live, but self-paced Handling Big Data with Spark Introduction to Big Data & Spark... [-]

Advance MATLAB Data Types and Data Structures

Simpliv
Online Full time Part time 3 hours Open Enrollment USA Fremont + 1 more

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Simpliv for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, timetables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming. In this course, we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience. [+]

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Simpliv for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, timetables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming.

In this course, we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience.... [-]


From 0 to 1: Hive for Processing Big Data

Simpliv
Online Full time Part time 15 hours Open Enrollment USA Fremont + 1 more

Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing. [+]

Prerequisites: Hive requires knowledge of SQL. The course includes an SQL primer at the end. Please do that first if you don't know SQL. You'll need to know Java if you want to follow the sections on custom functions.

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data.

Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing.

Let's parse that

A new friend with an old face: Hive helps you leverage the power of Distributed computing and Hadoop for Analytical processing. Its interface is like an old friend: the very SQL like HiveQL. This course will fill in all the gaps between SQL and what you need to use Hive.... [-]


Learn By Example: Statistics and Data Science in R

Simpliv
Online Full time Part time 9 hours Open Enrollment USA Fremont + 1 more

This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples. [+]

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples.

Let’s parse that.

Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analyzing and preparing raw data to visualize your findings.

Data Science, Statistics, and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R.... [-]


From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase

Simpliv
Online Full time Part time 20 hours Open Enrollment USA Fremont + 1 more

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today [+]

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

The course is down-to-earth: it makes everything as simple as possible - but not simpler The course is shy but confident: It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff. You can put ML to work today: If Machine Learning is a car, this car will have you driving today. It won't tell you what the carburetor is. The course is very visual: most of the techniques are explained with the help of animations to help you understand better. This course is practical as well: There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python. The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall.... [-]

From 0 to 1: Spark for Data Science with Python

Simpliv
Online Full time Part time 8 hours Open Enrollment USA Fremont + 1 more

If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to produce your code. [+]

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

Get your data to fly using Spark for analytics, machine learning, and data science

Let’s parse that.

What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.

Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Data frames to manipulate data with ease.... [-]


GCP: Complete Google Data Engineer and Cloud Architect Guide

Simpliv
Online Full time Part time 29 hours Open Enrollment USA Fremont + 1 more

his course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos. The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google. [+]

This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.

The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

What's Included: Compute and Storage - AppEngine, Container Engineer (aka Kubernetes) and Compute Engine Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained. DevOps stuff - StackDriver logging, monitoring, cloud deployment manager Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase) Who is the target audience? Yep! Anyone looking to use the Google Cloud Platform in their organizations Yep! Anyone who is interesting in architecting computers, networking, loading balancing and other solutions using the GCP Yep!Anyone who wants to deploy serverless analytics and big data solutions on the Google Cloud Yep! Anyone looking to build TensorFlow models and deploy them in the cloud BASIC KNOWLEDGE Basic understanding of technology - superficial exposure to Hadoop is enough. WHAT YOU... [-]

Learn By Example: Hadoop, MapReduce for Big Data problems

Simpliv
Online Full time Part time 7 - 8 hours Open Enrollment USA Fremont + 1 more

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel. [+]

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel.

Let’s parse that.

Zoom-in, Zoom-Out: This course is both broad and deep. It covers the individual components of Hadoop in great detail and also gives you a higher level picture of how they interact with each other.

Hands-on workout involving Hadoop, MapReduce: This course will get you hands-on with Hadoop very early on. You'll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered - including advanced topics like Total Sort and Secondary Sort.... [-]


Learn by Example: HBase - The Hadoop Database

Simpliv
Online Full time Part time 5 hours Open Enrollment USA Fremont + 1 more

Do you feel like your relational database is not giving you the flexibility you need anymore? Column-oriented storage, no fixed schema, and low latency make HBase a great choice for the dynamically changing needs of your applications. [+]

Best Courses in Data Science 2018. Prerequisites: Working with HBase requires knowledge of Java Taught by a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. Relational Databases are so stuffy and old! Welcome to HBase - a database solution for a new age. HBase: Do you feel like your relational database is not giving you the flexibility you need anymore? Column-oriented storage, no fixed schema, and low latency make HBase a great choice for the dynamically changing needs of your applications. What's Covered: 25 solved examples covering all aspects of working with data in HBase. CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce Implement your own notification service for a social network using HBase HBase and it’s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive. Using discussion forums ... [-]

Data Science for non-Data Scientists

International Management Forum Academy
Campus Full time 5 days June 2018 Netherlands Eindhoven

This unique 5-day training will teach business users how to explore, analyze and visualize (their) business data with powerful self-service tools [+]

Data Science for non-Data Scientists – mode of study Option 1: 5-day public training Option 2: In-company training Data Science for non-Data Scientists – why?

Data Analytics has become critical for many business decision makers. With new, powerful and affordable tools available on the market, more and more business people are finding they are empowered to do something intelligent with their data. As a result, many businesses already have a number of valuable super users. Their hybrid role bridges the gap between the high level, technical Data Scientist and the more business-oriented data discovery analyst.

In this unique 5-day training you gain the expertise and skills to perform some of the analytic functions that have been traditionally reserved for Data Scientists.... [-]


Data Analysis Circuit Course

General Assembly
Online Part time 10 weeks January 2019 USA USA Online

Gather, analyze, and tell stories through data with SQL, Excel, and visualization. [+]

Learn to gather, analyze, and tell stories through data with SQL, Excel, and visualization.

Model Behavior

Whether you’re using data to make business, technology, or design decisions – the process is the same.

Problem Formulation & Experiment Design

Properly define a problem and design tests that get valid results.

Extraction & Scrubbing

Use SQL to extract data from databases, then clean and prepare it for analysis.

Data Analysis

Use basic statistics and Excel to manipulate data in order to find patterns and answer questions.

Narrative & Visualization

Communicate findings effectively using data visualization, dashboards, and presentations.... [-]


Data Analytics Course

General Assembly
Campus Part time 10 weeks January 2019 USA Kips Bay Atlanta Austin Boston Chicago Dallas Denver Los Angeles Santa Monica Irvine Manhattanville Providence San Francisco San Jose Seattle Washington DC Arlington United Kingdom London Hong Kong Singapore Australia Brisbane Melbourne Sydney USA Online + 25 more

Learn to present and communicate data-driven insights via SQL, Excel, and Tableau. Create data visualizations and dashboards. [+]

The Big Picture

Confidently make — and defend — critical decisions using the results of your data analysis.

Skills, Tools, & Strategies

Use Excel, SQL, and Tableau to spot trends and drive business decisions with real‐world data.

Analytics in Practice

Share your insights and tell compelling stories using data visualizations and dashboards.

Meet Your Support Team

Our educational excellence is a community effort. When you learn at GA, you can always rely on an in-house team of experts to provide guidance and support, whenever you need it.

Instructors

Learn industry-grade frameworks, tools, vocabulary, and best practices from a teacher whose daily work involves using them expertly.... [-]


Data Science Course

General Assembly
Campus Part time 10 weeks February 2019 USA Kips Bay Atlanta Austin Boston Chicago Dallas Denver Los Angeles Santa Monica Irvine Manhattanville Providence San Francisco San Jose Seattle Washington DC Arlington United Kingdom London Hong Kong Singapore Australia Brisbane Melbourne Sydney USA Online + 25 more

Master the basics of machine learning to forecast what's next: predict patterns from large datasets using Python. [+]

Skills & Tools

Use Python to mine datasets and predict patterns.

Production Standard

Build statistical models — regression and classification — that generate usable information from raw data.

The Big Picture

Master the basics of machine learning and harness the power of data to forecast what’s next.

Meet Your Support Team

Our educational excellence is a community effort. When you learn at GA, you can always rely on an in-house team of experts to provide guidance and support, whenever you need it.

Instructors

Learn industry-grade frameworks, tools, vocabulary, and best practices from a teacher whose daily work involves using them expertly.

Teaching Assistants... [-]


Data Science Immersive Course

General Assembly
Campus Full time 12 weeks April 2019 USA Kips Bay Atlanta Austin Boston Chicago Dallas Denver Los Angeles Santa Monica Irvine Manhattanville Providence San Francisco San Jose Seattle Washington DC Arlington United Kingdom London Hong Kong Singapore Australia Brisbane Melbourne Sydney USA Online + 25 more

Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought-after fields in tech. [+]

Become a Data Scientist

Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought-after fields in tech.

Learn From Experts

Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.

Gain Hands-On Experience

Develop hard skills like Unix, Git, SQL, Python, machine learning, and modeling techniques while creating your own data projects and applications.

Get Hired

Take advantage of the growing demand for data and use the guidance and resources of our in-house career coaches to help you find work.

Meet Your Support Team

Our educational excellence is a community effort. When you learn at GA, you can always rely on an in-house team of experts to provide guidance and support, whenever you need it.... [-]


Course: Big Data Hadoop and Spark Developer Certification Training

Simplilearn
Online Part time Open Enrollment USA USA Online

The Big Data Hadoop and Spark Developer course has been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. [+]

Key features 40 hours of instructor-led training 24 hours of self-paced video 5 real-life industry projects in banking, telecom, insurance, and e-commerce domains Hands-on practice with CloudLabs Includes training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark Aligned to Cloudera CCA175 certification exam Course description

What’s the focus of this course? The Big Data Hadoop and Spark Developer course has been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. What are the course objectives? This course will enable you to:... [-]