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Data Science Course in London (85 Courses, 67+ Projects)

85 Online Courses

67 Hands-on Projects

660+ Hours

Verifiable Certificate of Completion

Lifetime Access

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Python Data Scientist Courses (18 Courses)

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Python Data Scientist Projects (6 Projects)

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R Programming Data Scientist Courses (12 Courses)

4

R Programming Data Scientist Projects (11 Projects)

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SAS Data Scientist Courses (9 Courses)

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Home Data Science Data Science Courses Data Science Course in London

What you get in this Data Science Course in London?

Online Classes
Technical Support
Mobile App Access
Case Studies

About Data Science Course in London

CourseNo. of Hours
Machine Learning with Python 20225h 15m
Project on Machine Learning - Covid19 Mask Detector2h 05m
Machine Learning Project - Auto Image Captioning for Social Media2h 23m
Machine Learning with SciKit-Learn in Python8h 37m
Machine Learning Python Case Study - Predictive Modeling8h 27m
Matplotlib for Python Developers - Beginners4h 12m
Matplotlib for Python Developers - Intermediate2h 52m
Matplotlib for Python Developers - Advanced6h 37m
Pandas with Python Tutorial5h 47m
NumPy and Pandas Python5h 01m
Pandas Python Case Study - Data Management for Retail Dataset3h 28m
Python Case Study - Sentiment Analysis1h 06m
Data Science with Python4h 14m
Artificial Intelligence with Python - Beginner Level2h 49m
Artificial Intelligence with Python - Intermediate Level4h 36m
AI Artificial Intelligence with Python6h 15m
Video Analytics using OpenCV and Python Shells2h 13m
Machine Learning using Python3h 26m
Statistics Essentials with Python3h 23m
Project on Tensorflow - Implementing Linear Model with Python1h 46m
Project - Data Analytics with Data Exploration Case Study5h 7m
Project on ML - Random Forest Algorithm1h 29m
Seaborn Python - Beginners2h 28m
Seaborn Python - Intermediate1h 18m
Seaborn Python - Advanced1h 56m
PySpark Python - Beginners2h 3m
PySpark Python - Intermediate2h 05m
PySpark Python - Advanced1h 14m
Machine Learning Python Case Study - Diabetes Prediction1h 03m
R Studio UI and R Script Basics4h 9m
R Programming for Data Science | A Complete Courses to Learn5h 7m
R Practical - Logistic Regression with R4h 18m
Project - Decision Tree Modeling using R1h 44m
Project on ML - Churn Prediction Model using R Studio1h 22m
Financial Analytics in R - Beginners3h 5m
Financial Analytics in R - Intermediate1h 28m
Financial Analytics in R - Advanced1h 35m
R for Finance - Beginners to Beyond2h 17m
Comprehensive Course on R3h 54m
Project on R - Forecasting using R4h 34m
Project - Fraud Analytics using R & Microsoft Excel2h 34m
Project - Marketing Analytics using R and Microsoft Excel2h 9m
Machine Learning with R20h 28m
Case Study - Customer Analytics using Tableau and R2h 7m
Case Study - Pricing Analytics using Tableau and R2h 39m
Business Analytics using R - Hands-on!16h 21m
Project - Market Basket Analysis in R37m
Project - Hypothesis Testing using R3h 6m
Data Visualization with R Shiny - The Fundamentals39m
Data Science with R6h 2m
R Studio Anova Techniques Course2h 18m
SAS Business Analytics for Beginners10h 42m
Predictive Modeling with SAS Enterprise Miner9h 21m
Quantitative Finance with SAS3h 29m
SAS Statistics8h 18m
SAS ODS (Output Delivery System)9h 08m
SAS PROC SQL13h 49m
SAS Macros7h 38m
SAS Advanced Analytics12h 34m
SAS Graph2h 1m
SAS DS25h 2m
SAS SQL3h 03m
SAS Practical - Macros5h 12m
SAS Advanced Programming11h 24m
SAS Categorical Data Analysis7h 26m
Certified SAS Base Programmer12h 2m
SAS Features for Starters1h 5m
SAS PROC SQL Features1h 53m
Big Data and Hadoop Training | Online Hadoop Course2h 3m
Hadoop Architecture and HDFS6h 13m
MapReduce - Beginners3h 34m
MapReduce - Advanced5h 35m
Hive - Beginners2h 47m
Hive - Advanced5h 11m
PIG - Beginners2h 1m
PIG - Advanced2h 13m
NoSQL Fundamentals2h 01m
Mahout3h 51m
Apache Oozie2h 13m
Apache Storm2h 4m
Apache Spark - Beginners1h 5m
Apache Spark - Advanced6h 14m
Splunk Fundamentals8h 33m
Splunk Advanced 01 - Knowledge Objects9h 29m
Splunk Advanced 02 - Administration39h
Project on Hadoop - Sales Data Analysis47m
Project on Hadoop - Tourism Survey Analysis53m
Project on Hadoop - Faculty Data Management35m
Project on Hadoop - E-Commerce Sales Analysis35m
Project on Hadoop - Salary Analysis49m
Project on Hadoop - Health Survey Analysis using HDFS56m
Project on Hadoop - Traffic Violation Analysis1h 25m
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m
Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce53m
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m
Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m
Hadoop and HDFS Fundamentals on Cloudera1h 22m
Project on Hadoop - Log Data Analysis1h 32m
SPSS 2022 - Beginners1h 05m
SPSS 2022 - Advanced5h 22m
Advanced SPSS Project: Impact of EMI on Home Loan43m
Advanced SPSS Project: Impact of Total Turnover in Equity Market58m
Advanced SPSS Project: Impact of Trade Data in Equity Market46m
SPSS GUI and Applications1h 13m
SPSS - Correlation Techniques1h 8m
SPSS - Linear Regression Modeling3h 08m
SPSS - Multiple Regression Modeling2h 34m
SPSS - Logistic Regression2h 01m
SPSS - Multinomial Regression2h 2m
SPSS GUI for Statistical Analysis2h
Tableau Desktop Training 20224h 17m
Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
Tableau Project - Russo-Ukraine War A Data Analytical Review1h 02m
Tableau4h 7m
BI Tools and Tableau Analytics5h 38m
Business Intelligence with Tableau5h 43m
Tableau Features Hands-on!5h 32m
Tableau Practical - Super Store Business Requirements45m
Analytics using Tableau9h 29m
Minitab for Beginners - 20221h 12m
Advanced Minitab Training - 20224h 39m
Minitab Practical - Impact of Predictors on Response1h 36m
Statistical Analysis using Minitab - Beginners to Beyond4h 27m
Minitab GUI and Descriptive Statistics2h 43m
ANOVA in Minitab53m
Correlation Techniques in Minitab2h 21m
Project on Minitab - Regression Modeling9h 54m
Minitab Predictive Modeling using Excel55m
MATLAB - Beginners2h 58m
MATLAB - Intermediate47m
MATLAB - Advanced4h 1m
Oracle SQL17h 32m
Oracle PLSQL13h 2m
Oracle DATABASE Admin DBA 1 Course9h 27m
Machine Learning with Tensorflow13h 29m
Hands-on Deep Learning Training10h 8m
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
Project on R - HR Attrition and Analytics2h 43m
Logistic Regression using SAS Stat4h 28m
Linear Regression in Python2h 28m
Python Data Science Case Study - Predicting Survival of Titanic Passengers2h 6m
Project on R - Card Purchase Prediction2h 28m
Machine Learning Python Case Study - Develop Movie Recommendation Engine51m
R Practical - Employee Attrition Prediction using Random Forest Technique and R1h 6m
Project on Term Deposit Prediction using Logistic Regression CART Algorithm1h 38m
Poisson Regression with SAS Stat2h 22m
Machine Learning Project using Caret in R1h 58m
Time Series Analysis in Python - Sales Forecasting2h 12m
Course Name Data Science Course in London
Deal You get access to all videos for the lifetime
Hours 660+ Video Hours
Core Coverage You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity Lifetime Access
Eligibility Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites Basic knowledge of data and analytics
What do you get? Certificate of Completion for the course
Certification Type Course Completion Certificates
Verifiable Certificates? Yes, you get verifiable certificates for each85 course, 67 Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training Video Course – Self Paced Learning
Software Required None
System Requirement 1 GB RAM or higher
Other Requirement Speaker / Headphone

Data Science Course in London Curriculum


The objective of the course is to give hands-on learning experience on different Data Science topics and need of the hour programming languages such as Python and R. The course also focuses on giving a varied knowledge on data science tools and software such as Hadoop, Pyspark, SPSS, Tableau, etc.,

Also, the course allows access to hands-on projects experience to acquire an overall knowledge and skill in the Data Science field.

This Data Science Course in London is a complete package of 76 courses and 52+ projects on software, programming languages, and tools that have been used in the Data Science world. So, it’s a complete expertise course a Data Scientist must-have.

The course involves hands-on training material of over 100 hours of Data Science using Python and R Programming languages the most widely used languages for Data Science across the world and along with that, you’ll get nearly 50hours of project material on python and R Programming.

You will also get more than 150 hours of hands-on training Courses along with the projects in statistical software such as SAS, SPSS, Minitab, and MATLAB. This software was used widely around the world for advanced statistical analysis and predictive analysis which is very vital for a Data Scientist.

Data storage, retrieval, and exploration are very important for Data Science projects and hence more than 180 hours of Big Data course along with projects that involve hands-on training on software such as Hadoop and Splunk are added in that course to have strong knowledge on Big Data platforms.

Data Visualization knowledge adds an extra edge to a Data Scientist and hence Tableau, a much-demanded Data Visualization tool in the Data Science world is added along with this Data Science Course in London. Over 35 hours of Tableau training material is available in this Data Science course.

Data Science Training – Certificate of Completion

Data Science Course in London

What is Data Science?

Data Science is a broad field that is created through a combination of Technological (Programming skills), Mathematical (Statistics, Calculus Probability), and Business knowledge and understanding.

It deals with extracting, analyzing, and understanding different forms of Data. Data Science Course covers a wide range of software, Data Processing, and analyzing tools, programming languages, and algorithms to gain insights, discover hidden trends and complex behaviors of the Data. Data Science Course in recent has gained a lot of attention to the demand it has in almost all the fields. Most of the businesses that happening around the world use Data as a source for their decision making.

Industry Growth Trend

The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]

Average Salary

Average Salary$120,301 per year
The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]

Which Skills will you learn in this Course?

This Data Science Course in London offers a deep and wide range of skills set from Programming to statistics and machine learning to deep learning algorithms. The skills you will attain from this course could make you an expert Data Analyst, Data Scientist, Business Analyst, and Machine Learning Engineer.

Machine learning algorithms such as Regression, Clustering, Classification, and Deep Learning algorithms like Neural Networks, Image processing techniques, and prominent libraries such as Pandas, Matplotlib, Scikitlearn, Big Data software such as Hadoop and Splunk is covered from this Data Science Course in London. Advanced analytics such as Time Series Analysis, Multivariate, Market Basket, Fraud analytics, Customer Analytics, Marketing Analytics, and Pricing Analytics and also advanced visualizations techniques in Tableau are some of the skills you will master from this course.

Pre-requisites

    • There is not much prerequisite for this Data Science Course in London other than some basic understanding of the Big Data technologies. Other than that, the programming skills such as Python or R is very simple and basic easy to understand and numerical computing packages like Scikitlearn will make the task of building machine learning models easy and Visualization tools like Tableau are easily understandable and creating attractive visualization charts in Tableau is easy.
    • Since this Data Science Course covers from scratch there is a real prerequisite needed and after the end of this course, you can achieve a complete skill set to become a Data Scientist.

Target Audience

    Anyone who likes to make a career in Data Science domain, or changes their current working domain and moves towards the Data Science platform can take up this Data Science Course in London. College graduates or IT professionals who want a move towards this Data Science field can take up this course it will help them achieve the skill set required in the Data Science field. Other than those people who want to learn specific topics or technology in the Data Science field can also take up this course for a complete knowledge in that particular topic. In general, any individual who is interested in gaining knowledge of the Data Science domain could take up this Data Science Course in London.

Data Science Course in London- FAQ’s


Why should you take up the Data Science course in London?

To take up a Data Science course in London would provide a wide range of benefits from getting to know the most recent trends that have been taking place to the Data Science community to the lucrative job vacancies that available across the UK. The salary benefits are more when compared to other places like Asian countries.

There are a lot of well-established and growing companies in London where job opportunities for Data Scientist role are expanding at a good pace and also there is a lot of research been going on in London academic circles where people often hold conferences and held meetings could be of great benefit when you are taking up a Data Science course in London.

What is the Data Scientist market trend in London?

Since London is a place of huge financial, IT and E-commerce companies it is always a great place for both business and jobs, and particularly Data Science jobs are growing at a rapid rate in London. There is a growing demand for Data Scientists in the UK because of the variety of skills a Data Scientist processes. A report published by MHR Analytics in 2019 shows that in the UK about 80% of the companies require Data Scientists for their business and planning to go for consultancy services. So, it’s the right time and London is the right place to take up the Data Science course.

Sample Preview


  • Seaborn-Statistical Data Visualization

    Seaborn-Statistical Data Visualization

    06.51
  • pandas series

    pandas series

    05.36
  • Creating Pie Charts

    Creating Pie Charts

    06.03
  • Decision Tree Classifier

    Decision Tree Classifier

    06.57
  • Hadoop Commands

    Hadoop Commands

    06.43
  • Union and Split Operators in Pig

    Union and Split Operators in Pig

    05.19
  • Analyze Book Performance By Reviews Using Code

    Analyze Book Performance By Reviews Using Code

    07.07
  • Install Software to Work with Iot

    Install Software to Work with Iot

    11.07
  • Static IP Configuration

    Static IP Configuration

    06.51
  • Default Parameters in Functions

    Default Parameters in Functions

    08.25

Career Benefits

    This course covers all the topics from Mathematics to Programming to Visualization techniques that are needed for a Data Scientist role. The whole module that is provided is based on recent trends and growing job opportunities in the Data Science world. Many people who are working in different domains are shifted and starting to shift their careers towards Data Science since the field has achieved such a reputation in recent times. Since the module provided, allows Hands-on training and project experiences, upon completion of the course you will attain the complete skill set that a Data Scientist requires and it will lead to a good career ahead

Reviews


 

Data Science Course in London review 1

Testimonials

Data science with python

The course goes through the different areas of data science with python. Besides a fundamental theory regarding the explained concepts, the diverse concepts are exemplified with short python programs. The lessons are good to understand and the programs presented to illustrate and implement the concepts are simple and significant.
Linked

Jorge Giro

 

 

Data Science Course in London review 2

Testimonials

Business Analytics using R

The data scientist course was very comprehensive and covered in detail the business analytics using R. The tutor used clear English and explained very carefully the different topics of the course. It is very rare to find a course online that covers that much information going from the basics of statistics to the application of R to business analytics. I think this is a competitive advantage of the course since the majority of this kind of courses available online are made for people who already know statistics or even some knowledge about the software itself, but this Data scientist course tried to cover them all which made very comfortable for me as a student.
Linked

Abderrahmane Friha

 

 

Data Science Course in London review 3

Testimonials

Amazing First Sashay with Customer Analytics

If you’re looking to dipping your toes into customer analytics, this Data scientist course is a good first start. It provides the foundation knowledge for customer analytics from mapping out the customer lifecycle and drilling down on what needs to be down per phase of the said lifecycle. I need to note that the data scientist training course explains from a bank / financial service standpoint, though this I feel allows the course to explain the concepts better instead of not having any examples at all.
Linked

Acee Vitangcol

 

 

Data Science Course in London review 4

Testimonials

Great content

Amazing material put together, it goes in-depth with functions on Excel, R, and SAS. I like the complexity and the level of knowledge especially the Excel area. If you are looking to analyze data regularly using excel 2010, or similar platforms such as R, this training is full of great content at a very high level.
Linked

Jorge Dominguez

 

 

Data Science Course in London review 5

Testimonials

Good Introduction to Marketing Analytics

It is a good Introduction to Marketing Analytics. It lists the typical activities carried out in the practice of predictive analytics. Furthermore, it helps to define how to make analytics more efficient, lists the type of models that are used in marketing and digital marketing, and some hints on the leading vendors of predictive analytics.
Linked

Ricardo Garibay-Martínez

 

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CoursesNo. of Hours
Machine Learning with Python 20225h 15m
Project on Machine Learning - Covid19 Mask Detector2h 05m
Machine Learning Project - Auto Image Captioning for Social Media2h 23m
Machine Learning with SciKit-Learn in Python8h 37m
Machine Learning Python Case Study - Predictive Modeling8h 27m
Matplotlib for Python Developers - Beginners4h 12m
Matplotlib for Python Developers - Intermediate2h 52m
Matplotlib for Python Developers - Advanced6h 37m
Pandas with Python Tutorial5h 47m
NumPy and Pandas Python5h 01m
Pandas Python Case Study - Data Management for Retail Dataset3h 28m
Python Case Study - Sentiment Analysis1h 06m
Data Science with Python4h 14m
Artificial Intelligence with Python - Beginner Level2h 49m
Artificial Intelligence with Python - Intermediate Level4h 36m
AI Artificial Intelligence with Python6h 15m
Video Analytics using OpenCV and Python Shells2h 13m
Machine Learning using Python3h 26m
Statistics Essentials with Python3h 23m
Project on Tensorflow - Implementing Linear Model with Python1h 46m
Project - Data Analytics with Data Exploration Case Study5h 7m
Project on ML - Random Forest Algorithm1h 29m
Seaborn Python - Beginners2h 28m
Seaborn Python - Intermediate1h 18m
Seaborn Python - Advanced1h 56m
PySpark Python - Beginners2h 3m
PySpark Python - Intermediate2h 05m
PySpark Python - Advanced1h 14m
Machine Learning Python Case Study - Diabetes Prediction1h 03m
R Studio UI and R Script Basics4h 9m
R Programming for Data Science | A Complete Courses to Learn5h 7m
R Practical - Logistic Regression with R4h 18m
Project - Decision Tree Modeling using R1h 44m
Project on ML - Churn Prediction Model using R Studio1h 22m
Financial Analytics in R - Beginners3h 5m
Financial Analytics in R - Intermediate1h 28m
Financial Analytics in R - Advanced1h 35m
R for Finance - Beginners to Beyond2h 17m
Comprehensive Course on R3h 54m
Project on R - Forecasting using R4h 34m
Project - Fraud Analytics using R & Microsoft Excel2h 34m
Project - Marketing Analytics using R and Microsoft Excel2h 9m
Machine Learning with R20h 28m
Case Study - Customer Analytics using Tableau and R2h 7m
Case Study - Pricing Analytics using Tableau and R2h 39m
Business Analytics using R - Hands-on!16h 21m
Project - Market Basket Analysis in R1h 3m
Project - Hypothesis Testing using R3h 6m
Data Visualization with R Shiny - The Fundamentals1h 6m
Data Science with R6h 2m
R Studio Anova Techniques Course2h 18m
SAS Business Analytics for Beginners10h 42m
Predictive Modeling with SAS Enterprise Miner9h 21m
Quantitative Finance with SAS3h 29m
SAS Statistics8h 18m
SAS ODS (Output Delivery System)9h 08m
SAS PROC SQL13h 49m
SAS Macros7h 38m
SAS Advanced Analytics12h 34m
SAS Graph2h 1m
SAS DS25h 2m
SAS SQL3h 03m
SAS Practical - Macros5h 12m
SAS Advanced Programming11h 24m
SAS Categorical Data Analysis7h 26m
Certified SAS Base Programmer12h 2m
SAS Features for Starters1h 5m
SAS PROC SQL Features1h 53m
Big Data and Hadoop Training | Online Hadoop Course2h 3m
Hadoop Architecture and HDFS6h 13m
MapReduce - Beginners3h 34m
MapReduce - Advanced5h 35m
Hive - Beginners2h 47m
Hive - Advanced5h 11m
PIG - Beginners2h 1m
PIG - Advanced2h 13m
NoSQL Fundamentals2h 01m
Mahout3h 51m
Apache Oozie2h 13m
Apache Storm2h 4m
Apache Spark - Beginners1h 5m
Apache Spark - Advanced6h 14m
Splunk Fundamentals8h 33m
Splunk Advanced 01 - Knowledge Objects9h 29m
Splunk Advanced 02 - Administration39h
Project on Hadoop - Sales Data Analysis0h 8m
Project on Hadoop - Tourism Survey Analysis0h 9m
Project on Hadoop - Faculty Data Management0h 58m
Project on Hadoop - E-Commerce Sales Analysis0h 59m
Project on Hadoop - Salary Analysis1h 22m
Project on Hadoop - Health Survey Analysis using HDFS1h 34m
Project on Hadoop - Traffic Violation Analysis1h 25m
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m
Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce1h 29m
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m
Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m
Hadoop and HDFS Fundamentals on Cloudera1h 22m
Project on Hadoop - Log Data Analysis1h 32m
SPSS 2022 - Beginners1h 05m
SPSS 2022 - Advanced5h 22m
Advanced SPSS Project: Impact of EMI on Home Loan1h 12m
Advanced SPSS Project: Impact of Total Turnover in Equity Market1h 38m
Advanced SPSS Project: Impact of Trade Data in Equity Market1h 18m
SPSS GUI and Applications1h 13m
SPSS - Correlation Techniques1h 8m
SPSS - Linear Regression Modeling3h 08m
SPSS - Multiple Regression Modeling2h 34m
SPSS - Logistic Regression2h 01m
SPSS - Multinomial Regression2h 2m
SPSS GUI for Statistical Analysis2h
Tableau Desktop Training 20224h 17m
Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
Tableau Project - Russo-Ukraine War A Data Analytical Review1h 02m
Tableau4h 7m
BI Tools and Tableau Analytics5h 38m
Business Intelligence with Tableau5h 43m
Tableau Features Hands-on!5h 32m
Tableau Practical - Super Store Business Requirements1h 16m
Analytics using Tableau9h 29m
Minitab for Beginners - 20221h 12m
Advanced Minitab Training - 20224h 39m
Minitab Practical - Impact of Predictors on Response1h 36m
Statistical Analysis using Minitab - Beginners to Beyond4h 27m
Minitab GUI and Descriptive Statistics2h 43m
ANOVA in Minitab1h 28m
Correlation Techniques in Minitab2h 21m
Project on Minitab - Regression Modeling9h 54m
Minitab Predictive Modeling using Excel1h 32m
MATLAB - Beginners2h 58m
MATLAB - Intermediate1h 19m
MATLAB - Advanced4h 1m
Oracle SQL17h 32m
Oracle PLSQL13h 2m
Oracle DATABASE Admin DBA 1 Course9h 27m
Machine Learning with Tensorflow13h 29m
Hands-on Deep Learning Training10h 8m
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
Project on R - HR Attrition and Analytics2h 43m
Logistic Regression using SAS Stat4h 28m
Linear Regression in Python2h 28m
Python Data Science Case Study - Predicting Survival of Titanic Passengers2h 6m
Project on R - Card Purchase Prediction2h 28m
Machine Learning Python Case Study - Develop Movie Recommendation Engine1h 26m
R Practical - Employee Attrition Prediction using Random Forest Technique and R1h 6m
Project on Term Deposit Prediction using Logistic Regression CART Algorithm1h 38m
Poisson Regression with SAS Stat2h 22m
Machine Learning Project using Caret in R1h 58m
Time Series Analysis in Python - Sales Forecasting2h 12m

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