Qualifi Level 7 Diploma in Data Science Course in Islamabad

Inspire Institute Of Technologies Pakistan Private-SMC Limited Is Directly Approved Center QCN001371 of Qualifi (An Ofqual Recognized Awarding Organization).

What Is Meant By Data Science?

Data Science Is The Field Of Applying Advanced Analytics Techniques And Scientific Principles To Extract Valuable Information From Data For Business Decision-Making, Strategic Planning And Other Uses.

What Does A Data Science Do?

A Data Scientist Requires Large Amounts Of Data To Develop Hypotheses, Make Inferences, And Analyze Customer And Market Trends. Basic Responsibilities Include Gathering And Analyzing Data, Using Various Types Of Analytics And Reporting Tools To Detect Patterns, Trends And Relationships In Data Sets.

Why Data Science Is Important?

More And More Companies Are Coming To Realize The Importance Of Data Science, AI, And Machine Learning. Regardless Of Industry Or Size, Organizations That Wish To Remain Competitive In The Age Of Big Data Need To Efficiently Develop And Implement Data Science Capabilities Or Risk Being Left Behind.

Who Is Eligible For Data Science?

O Work As A Data Scientist, You Must Have An Undergraduate Or A Postgraduate Degree In A Relevant Discipline, Such As Business Information Systems, Computer Science, Economics, Information Management, Mathematics And Statistics

Prerequisites or Pre-Experience of Data Science:

A Strong Background In Mathematics And Computer Science: As A Data Scientist, You Will Be Working With Large Amounts Of Data On A Daily Basis. Therefore, It Is Essential That You Have A Strong Foundation In Mathematics And Computer Science. In Particular, You Should Be Comfortable With Statistical Methods And Algorithms.

Experience Working With Large Amounts Of Data: Data Scientists Must Be Able To Effectively Manipulate And Analyze Large Data Sets. Therefore, It Is Important To Have Some Experience Working With Large Data Sets Before Becoming A Data Scientist.

Experience With Machine Learning And Statistical Modeling: Machine Learning And Statistical Modeling Are Powerful Tools That Data Scientists Use To Make Predictions From Data. Therefore, Experience With These Techniques Is Essential For Anyone Interested In Becoming A Data Scientist.

Strong Communication And Visualization Skills: Data Scientists Must Be Able To Effectively Communicate Their Findings To Others. Therefore, Strong Communication And Visualization Skills Are Essential For Anyone Interested In Becoming A Data Scientist.

A Willingness To Learn: The Field Of Data Science Is Constantly Evolving, Which Means That Data Scientists Must Be Willing To Continuously Learn New Methods And Techniques. Therefore, A Willingness To Learn Is Essential For Anyone Interested In Becoming A Data Scientist. One Of The Best Ways To Learn How To Become A Data Scientist Or Brush Up On Your Current Skills Is To Enroll In A Top Data Science Education Program.

Careers in Data Science:

Once you’ve Mastered These Skills, You’ll Have A Range Of Career Opportunities Available. Prepare For A Job Interview With Our Data Science Interview Questions.

Course Overview:

With The Emergence Of Cloud Computing, Big Data And Artificial Intelligence, Data Science Has Become A Key Fourth Generation Profession. The Level 7 Postgraduate Diploma In Data Science Has Been Developed To Prepare Aspiring Data Scientists, Data Analysts And Artificial Intelligence Specialists To Take Advantage Of The Growing Business And Employment Opportunities In These Fields.

The Diploma Is Designed to Enable Learners to Gain Skills in Math’s, Statistics and Programming in R, Python And SQL. The Diploma Also Provides A Sound Basis For A Progression To Masters Degrees In A Number Of Relevant Disciplines.

Course Units:

Exploratory Data Analysis.

Statistical Inference.

Fundamentals Of Predictive Modeling Advanced Predictive Modeling.

Time Series Analysis.

Unsupervised Multivariate Methods Machine Learning.

Learning Outcomes:

Gain The Mathematical And Statistical Knowledge And Understanding Required To Carry Out Basic And Advanced Data Analysis.

Develop Sufficient Skill In The R, Python And SQL Programming Languages To Use Them To Successfully Carry Out Data Analysis To An Advanced Level.

Develop A Strong Understanding Of Data Management, Including Evaluation, Structuring And Cleaning Of Data For Analysis.

Become Familiar With And Use The Tools And Techniques Used In Data Visualizations

Develop A Comprehensive Knowledge Of Classical Data Analytics, Including Statistical Inference,

Predictive Modeling, Time Series Analysis and Data Reduction.

Become Familiar With And Apply Common Machine Learning Techniques To Business And Other Problems

In Order To Uncover Options And Solutions For Them.

Develop An Understanding Of Essential Concepts From Contemporary Themes In Business.

Understand, Evaluate And Apply Data Science And Analytics Within Business And Organizational Contexts.

Entry Requirements:

A Minimum Of A Level 6 Qualification In A Related Sector Or;

Bachelors Degree Or;

A Minimum of 3 Years’ Work Experience Which Demonstrates Current and Relevant Industry Knowledge.

Awarding Body:

Qualifi Is A Leading 21st Century Awarding Organization Founded To Meet The Developing Education And Training Needs Of Learners And Employers From The Uk And Around The Globe Serving The Needs Of Learners And Employers In The Uk And Worldwide Every Year.

Qualifi, Recognized By Ofqual Awarding Organization Has Assembled A Reputation For Maintaining Significant Skills In A Wide Range Of Job Roles And Industries Which Comprises Leadership, Hospitality & Catering, Health And Social Care, Enterprise And Management, Process Outsourcing And Public Services.

Mode of Study:

Online Training (Through Zoom).

Recorded Training Lectures.

Materials Provided:

Course Participants Will Receive:

Study Outline.

Workbooks and Practice Problems.

Suggested Resources and Study Aids.

Past Papers.

Guidance on Areas Where You Need Additional Preparation.

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