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DATA SCIENTIST - Specialization | 150 Course Series

605+ Hours of HD Videos

150 Courses

Verifiable Certificate of Completion

One year access

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Home Data Science Data Science Courses DATA SCIENTIST – Specialization | 150 Course Series

What you get in this DATA SCIENTIST - Specialization | 150 Course Series?

605+ Hours
150 Courses
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies

About Data Science course UK

Course Name Data Science course UK
Deal You get access to all videos for the lifetime
Hours 605+ 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 each150 course, 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 UK Curriculum


This exhaustive online data science course has been specially designed to help not only avid learners who can spare time at their ease but also working professionals. Data Science course the UK will help you to build a successful career in Data Science or to do a transition from your current profile, that too at your comfort and your own pace. So, you need not worry about keeping your professional or personal life at stake for becoming a Data Scientist.

Data Science course the UK is a one-stop solution for everything a learner needs to deep dive into the amazing world of Data and become a holistic data science professional.

The curriculum is created and Engineered in a way that it covers all the concepts of Data Analytics and Data Science, ranging from simple coding in Python to building Machine Learning models using it. The course will also give you a strong understanding of mathematics concepts that are used in the world of Data Science, like p-test, z-test, linear regression, multiple regression, etc. Curriculum also includes visualization tools like Tableau, which are a must to adept tools for a Data Scientist. The details in which these topics are covered will ensure your transformation into a Data Scientist professional, ready to be embraced by your potential employer.

  • MODULE 1: Data Science with Python Essentials Training

    Courses No. of Hours Certificates Details
    Machine Learning with Python 20245h 14m✔
    Machine Learning with Python Case Study - Covid19 Mask Detector2h 05m✔
    Deep Learning: Automatic Image Captioning for Social Media with Tensorflow2h 23m✔
    AI Machine Learning in Python8h 37m✔
    Predictive Analytics and Modeling with Python8h 26m✔
    Matplotlib for Python Data Visualization - Beginners4h 2m✔
    Matplotlib for Python Data Visualization - Intermediate2h 53m✔
    Matplotlib for Python Data Visualization - Advanced6h 37m✔
    Pandas with Python Tutorial5h 42m✔
    NumPy and Pandas Python4h 7m✔
    Pandas Python Case Study - Data Management for Retail Dataset3h 14m✔
    Python Case Study - Sentiment Analysis57m✔
    Data Science with Python4h 14m✔
    Artificial Intelligence with Python - Beginner Level2h 51m✔
    Artificial Intelligence with Python - Intermediate Level4h 34m✔
    AI Artificial Intelligence & Predictive Analysis 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 6m✔
    Random Forest Algorithm using Python1h 27m✔
  • MODULE 2: Data Science with R & Python Essentials Training

    Courses No. of Hours Certificates Details
    Seaborn Python - Beginners2h 28m✔
    Seaborn Python - Intermediate1h 18m✔
    Seaborn Python - Advanced1h 56m✔
    PySpark Python - Beginners2h 16m✔
    PySpark Python - Intermediate2h 02m✔
    PySpark Python - Advanced1h 18m✔
    Machine Learning Python Case Study - Diabetes Prediction1h 02m✔
    R Studio UI and R Script Basics4h 13m✔
    R Programming for Data Science | A Complete Courses to Learn5h 7m✔
    Logistic Regression & Supervised Machine Learning with R4h 14m✔
    Decision Trees Modeling using R1h 4m✔
    Project on ML - Churn Prediction Model using R Studio1h 22m✔
    Financial Analytics in R - Beginners3h 45m✔
    Financial Analytics in R - Intermediate1h 28m✔
    Financial Analytics in R - Advanced1h 35m✔
    R for Finance - Beginners to Beyond2h 17m✔
    Comprehensive Course on R3h 54m✔
    Time Series Analysis and Forecasting using R4h 34m✔
    Project - Fraud Analytics using R2h 34m✔
    Project - Marketing Analytics using R and Microsoft Excel2h 9m✔
    Machine Learning with R20h 25m✔
    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✔
  • MODULE 3: Data Science with SAS Essentials Training

    Courses No. of Hours Certificates Details
    SAS Business Analytics for Beginners10h 45m✔
    Predictive Analytics & Modeling with SAS9h 19m✔
    Quantitative Finance with SAS3h 29m✔
    SAS Statistics8h 18m✔
    SAS ODS (Output Delivery System)9h 36m✔
    SAS PROC SQL13h 49m✔
    SAS Macros7h 25m✔
    SAS Advanced Analytics12h 22m✔
    SAS Graph2h 1m✔
    SAS DS24h 59m✔
    SAS SQL3h 01m✔
    SAS Practical - Macros5h 5m✔
    SAS Advanced Programming10h 7m✔
    SAS Categorical Data Analysis7h 16m✔
    Certified SAS Base Programmer12h 2m✔
    SAS Features for Starters1h 5m✔
    SAS PROC SQL Features1h 49m✔
  • MODULE 4: Big Data & Hadoop

    Courses No. of Hours Certificates Details
    Big Data and Hadoop Training | Online Hadoop Course2h 2m✔
    Hadoop Architecture and HDFS6h 13m✔
    MapReduce - Beginners3h 01m✔
    MapReduce - Advanced5h 35m✔
    Hive - Beginners2h 47m✔
    Hive - Advanced5h 11m✔
    PIG - Beginners2h 1m✔
    PIG - Advanced2h 13m✔
    NoSQL Fundamentals2h 01m✔
    Mahout3h 5m✔
    Apache Oozie2h 11m✔
    Apache Storm2h 3m✔
    Apache Spark - Beginners1h 38m✔
    Apache Spark - Advanced5h 47m✔
    Splunk Fundamentals8h 33m✔
    Splunk Advanced 01 - Knowledge Objects9h 29m✔
    Splunk Advanced 02 - Administration39h ✔
  • MODULE 5: Learning from Projects & Practicals

    Courses No. of Hours Certificates Details
    Project on Hadoop - Sales Data Analysis42m✔
    Project on Hadoop - Tourism Survey Analysis55m✔
    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 2024 - Beginners58m✔
    SPSS 2024 - Advanced5h 19m✔
    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✔
    Linear Regression & Supervised Learning with SPSS3h 07m✔
    SPSS - Multiple Regression Modeling2h 34m✔
    Logistic Regression & Supervised Learning using SPSS2h 37m✔
    SPSS - Multinomial Regression2h 2m✔
    SPSS GUI for Statistical Analysis2h ✔
    Tableau Desktop Training 20244h 21m✔
    Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m✔
    Tableau Project - Russo-Ukraine War A Data Analytical Review1h 06m✔
    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 28m✔
  • MODULE 6: Minitab and MATLAB

    Courses No. of Hours Certificates Details
    Minitab for Beginners - 20241h 15m✔
    Advanced Minitab Training - 20244h 39m✔
    Minitab Practical - Impact of Predictors on Response1h 35m✔
    Statistical Analysis using Minitab - Beginners to Beyond4h 21m✔
    Minitab GUI and Descriptive Statistics2h 43m✔
    ANOVA in Minitab52m✔
    Correlation Techniques in Minitab2h 18m✔
    Project on Minitab - Regression Modeling9h 36m✔
    Minitab Predictive Modeling using Excel55m✔
    MATLAB - Beginners3h 9m✔
    MATLAB - Intermediate47m✔
    MATLAB - Advanced4h 1m✔
  • MODULE 7: Database & SQL

    Courses No. of Hours Certificates Details
    Oracle SQL17h 32m✔
    Oracle PLSQL12h 56m✔
    Oracle DBA 19h 27m✔
    Machine Learning ZERO to HERO - Hands-on with Tensorflow13h 39m✔
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m✔
    Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m✔
    Project on R - HR Attrition and Analytics2h 08m✔
    Logistic Regression using SAS Stat4h 26m✔
    Linear Regression & Supervised Learning in Python2h 28m✔
    Logistic Regression & Supervised Machine Learning in Python2h 6m✔
    Project on R - Card Purchase Prediction2h 28m✔
    Develop a Movie Recommendation Engine51m✔
    Random Forest Techniques and R - Employee Attrition Prediction1h 6m✔
    Predictive Analytics Model for Term Deposit Investment using CART Algorithm1h 38m✔
    Poisson Regression with SAS Stat2h 21m✔
    Machine Learning Project using Caret in R1h 58m✔
    Sales Forecasting using Time Series Analysis in Python2h 13m✔

Data Science Training – Certificate of Completion

Data Science course UK

What is Data Science?

The statement, “data is the oil of future”, is everywhere and yes, it is true. ‘DATA’ is the oil of the future, and if you have it, you have the power to dominate the market. BUT, do we have the liberty to pick up any random oil and start using it to meet all our requirements? Some random oil for hair, cooking, bike, or maybe for airplanes?

The answer must be a resounding NO. The oil extracted must be refined and then made available for its consumers in various forms and through different delivery channels. Similarly, the so-called OIL or data in our case must be played around with and then presented in a form, that it can be put to use by its end-user.

Data, more often than not, doesn’t make any sense at its own, the data has to be cleaned and represented in such a way that it makes sense to the audience or the consumer of the data.

The same can be achieved by the power of Data Science that includes both playing around with data and representing it visually. Data science enriches and empowers the data so that it can be put to use by someone doing an entry-level job of running a few queries, to someone at C-suite level brainstorming reasons for dipping sales.

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?

The program is developed and designed in such a way that it fits the needs of every data enthusiast, ranging from someone who is abecedarian in the field of data science to someone who is well familiar with the concepts but wants to take his understanding to expert level.

The program starts with concepts of Python and how it is used in the field of Data Science. You will get to learn about the special libraries in python like Pandas, Numpy, Matplotlib, seaborn, etc. that provide us with numerous powerful functionalities like data exploration, visualization, regression, modeling, etc. Our learning will not be limited to Python but will also include R programming which is another paramount part of data science. Numerous program-specific features can be implemented by using R programming language and we will be learning them in the Data Science course in the UK.

We will also learn SAS, one of the most important tools in the field of data science, and how Data Scientists utilize SAS for analytics. SAS learning will be supplemented by working on a live project to ensure an insightful understanding of the topic. The course will also offer a deep understanding of modules like Hadoop, SPSS, Tableau, Minitab. Moreover, we will also learn SPLUNK and MATLAB to ensure that we leave no stone unturned in our journey to become a Data Scientist.

Also, to ensure that the understanding is not merely limited to the theory part, the hands-on projects are provided with all the topics. So, this course not only makes you adept in the theoretical part of Data Science but also make sure that you become well familiar with the industry relevance of these topics.

Pre-requisites

    • This program is developed in a way that it best fits the learning need of every data fanatic. An individual with limited to no knowledge of the tools and technologies mentioned above can benefit equally when compared to someone who has an initial understanding of these topics.

That being said, you will still have some upper hand in case there is some initial understanding of Python and R programming language. Also, initial knowledge of tools like Minitab, Hadoop, Splunk, and Matlab will be an added advantage.

Target Audience

    • This course is for every individual who has a zeal to learn new things, every professional who want to upskill or reskill, every student who wants to kick start his/her carrier in the world of Data Science.

The topics and hands-on projects covered in the Data Science course UK will ensure that the audience will have an upper hand when it comes to ever-expanding, competitive job market. The students who are in the final year of their studies and willing to be a data scientist can get a kick start to their career with this course. For students, the Data Science course the UK ensures that the gap between academics and industry requirements is diminished and they become more employable as compared to their peers.

Data Science Course in the UK – FAQ’s


Why should you take up the Data Scientist course in the UK?

These are erratic times for businesses in the United Kingdom. Technological, economic, and political disruptions have created a climate of increased ambiguity. With the UK’s imminent exit from the European Union (EU) scheduled, businesses all over the UK are making urgent preparations for fresh threats ahead.

Part of these preparations involves the use of data and data analytics to leverage insights and inferences to make meticulous business choices about revenue optimization, cost optimization, and improving business reporting and decision-making processes.

But, there is a problem, a large number of these businesses lack the right skills, tools, and expertise to deep dive in the field of data analytics, to get any significant knowledge and make useful interpretations.

What is the Data Science market trend in the UK?

As per government sources, UK businesses are planning to tackle the uncertainties through extended investments in data analytics, digital transformation & data insights. These companies will be investing in hiring talent to manage their data and help them to make decisions using it.  UK employers have posted 27,033 job ads seeking Data Science professionals between the 12 months of July 2017 & June 2018. This when compared to Data Scientist jobs posted in 2013, which were 8157, shows a growth of 231% in just 5 years.

Sample Preview


Career Benefits

    Based on market research, it is found that Data Science is one of the sectors which has critical demand and supply imbalance. This course is comprised of all the topics that are required by an individual who wants to tap the market of data science. Data Science course UK extensively covers all the topics, tools, and technologies that are present in the ocean of data science. As the learning is not restricted to the theoretical part but also extends to industry-relevant projects, the learner will be ready to start his/her data scientist carrier as soon as the course is finished. The industry-relevant projects and hands-on experience will ensure that the learner will be able to work as a data scientist and will also be able to handle the work all alone in the production environment.

Reviews


 

Data Science course UK 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 UK 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 UK review 5

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 UK review 6

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

 

 

Data Science course UK review 13

Testimonials

Effective Tool for dashboard creation

This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the data scientist training in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked

Patrick

 

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Course Curriculum
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    CoursesNo. of Hours
    Machine Learning with Python 20245h 14m
    Machine Learning with Python Case Study - Covid19 Mask Detector2h 05m
    Deep Learning: Automatic Image Captioning for Social Media with Tensorflow2h 23m
    AI Machine Learning in Python8h 37m
    Predictive Analytics and Modeling with Python8h 26m
    Matplotlib for Python Data Visualization - Beginners4h 2m
    Matplotlib for Python Data Visualization - Intermediate2h 53m
    Matplotlib for Python Data Visualization - Advanced6h 37m
    Pandas with Python Tutorial5h 42m
    NumPy and Pandas Python4h 7m
    Pandas Python Case Study - Data Management for Retail Dataset3h 14m
    Python Case Study - Sentiment Analysis1h 37m
    Data Science with Python4h 14m
    Artificial Intelligence with Python - Beginner Level2h 51m
    Artificial Intelligence with Python - Intermediate Level4h 34m
    AI Artificial Intelligence & Predictive Analysis 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 6m
    Random Forest Algorithm using Python1h 27m
    Seaborn Python - Beginners2h 28m
    Seaborn Python - Intermediate1h 18m
    Seaborn Python - Advanced1h 56m
    PySpark Python - Beginners2h 16m
    PySpark Python - Intermediate2h 02m
    PySpark Python - Advanced1h 18m
    Machine Learning Python Case Study - Diabetes Prediction1h 02m
    R Studio UI and R Script Basics4h 13m
    R Programming for Data Science | A Complete Courses to Learn5h 7m
    Logistic Regression & Supervised Machine Learning with R4h 14m
    Decision Trees Modeling using R1h 4m
    Project on ML - Churn Prediction Model using R Studio1h 22m
    Financial Analytics in R - Beginners3h 45m
    Financial Analytics in R - Intermediate1h 28m
    Financial Analytics in R - Advanced1h 35m
    R for Finance - Beginners to Beyond2h 17m
    Comprehensive Course on R3h 54m
    Time Series Analysis and Forecasting using R4h 34m
    Project - Fraud Analytics using R2h 34m
    Project - Marketing Analytics using R and Microsoft Excel2h 9m
    Machine Learning with R20h 25m
    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 45m
    Predictive Analytics & Modeling with SAS9h 19m
    Quantitative Finance with SAS3h 29m
    SAS Statistics8h 18m
    SAS ODS (Output Delivery System)9h 36m
    SAS PROC SQL13h 49m
    SAS Macros7h 25m
    SAS Advanced Analytics12h 22m
    SAS Graph2h 1m
    SAS DS24h 59m
    SAS SQL3h 01m
    SAS Practical - Macros5h 5m
    SAS Advanced Programming10h 7m
    SAS Categorical Data Analysis7h 16m
    Certified SAS Base Programmer12h 2m
    SAS Features for Starters1h 5m
    SAS PROC SQL Features1h 49m
    Big Data and Hadoop Training | Online Hadoop Course2h 2m
    Hadoop Architecture and HDFS6h 13m
    MapReduce - Beginners3h 01m
    MapReduce - Advanced5h 35m
    Hive - Beginners2h 47m
    Hive - Advanced5h 11m
    PIG - Beginners2h 1m
    PIG - Advanced2h 13m
    NoSQL Fundamentals2h 01m
    Mahout3h 5m
    Apache Oozie2h 11m
    Apache Storm2h 3m
    Apache Spark - Beginners1h 38m
    Apache Spark - Advanced5h 47m
    Splunk Fundamentals8h 33m
    Splunk Advanced 01 - Knowledge Objects9h 29m
    Splunk Advanced 02 - Administration39h
    Project on Hadoop - Sales Data Analysis1h 12m
    Project on Hadoop - Tourism Survey Analysis1h 33m
    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 2024 - Beginners1h 37m
    SPSS 2024 - Advanced5h 19m
    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 17m
    SPSS GUI and Applications1h 13m
    SPSS - Correlation Techniques1h 8m
    Linear Regression & Supervised Learning with SPSS3h 07m
    SPSS - Multiple Regression Modeling2h 34m
    Logistic Regression & Supervised Learning using SPSS2h 37m
    SPSS - Multinomial Regression2h 2m
    SPSS GUI for Statistical Analysis2h
    Tableau Desktop Training 20244h 21m
    Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
    Tableau Project - Russo-Ukraine War A Data Analytical Review1h 06m
    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 28m
    Minitab for Beginners - 20241h 15m
    Advanced Minitab Training - 20244h 39m
    Minitab Practical - Impact of Predictors on Response1h 35m
    Statistical Analysis using Minitab - Beginners to Beyond4h 21m
    Minitab GUI and Descriptive Statistics2h 43m
    ANOVA in Minitab1h 27m
    Correlation Techniques in Minitab2h 18m
    Project on Minitab - Regression Modeling9h 36m
    Minitab Predictive Modeling using Excel1h 32m
    MATLAB - Beginners3h 9m
    MATLAB - Intermediate1h 19m
    MATLAB - Advanced4h 1m
    Oracle SQL17h 32m
    Oracle PLSQL12h 56m
    Oracle DBA 19h 27m
    Machine Learning ZERO to HERO - Hands-on with Tensorflow13h 39m
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m
    Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
    Project on R - HR Attrition and Analytics2h 08m
    Logistic Regression using SAS Stat4h 26m
    Linear Regression & Supervised Learning in Python2h 28m
    Logistic Regression & Supervised Machine Learning in Python2h 6m
    Project on R - Card Purchase Prediction2h 28m
    Develop a Movie Recommendation Engine1h 26m
    Random Forest Techniques and R - Employee Attrition Prediction1h 6m
    Predictive Analytics Model for Term Deposit Investment using CART Algorithm1h 38m
    Poisson Regression with SAS Stat2h 21m
    Machine Learning Project using Caret in R1h 58m
    Sales Forecasting using Time Series Analysis in Python2h 13m

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