Certificate in Data Wrangling with Proc & SQL

Name: Certificate in Data Wrangling with Proc & SQL
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The Certificate in Data Wrangling with Proc & SQL is a comprehensive course designed to equip learners with essential skills in data wrangling, a critical process in data analysis. This course focuses on teaching Proc and SQL, two powerful tools used for manipulating and querying data in various industries.

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About this course

With the increasing demand for data-driven decision-making, data wrangling has become a critical skill for professionals in many fields. This course provides learners with the necessary skills to extract, clean, transform, and load data, allowing them to derive valuable insights from raw data. By completing this course, learners will gain a competitive edge in the job market, with proficiency in Proc and SQL, two widely used programming languages for data manipulation. This certificate course is an excellent opportunity for learners to advance their careers in data analysis, business intelligence, and related fields.

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Course Details

• Introduction to Data Wrangling: Understanding Data Wrangling, its importance, and the tools required
• Setting up SAS: Installing and configuring SAS for data manipulation
• Importing Data with Proc Import: Using Proc Import to bring data into SAS
• Data Cleaning with Proc DataSets: Identifying and handling missing or inconsistent data
• Data Manipulation with Proc SQL: Querying and manipulating data using SQL
• Data Transformation with Proc Transpose: Transforming data from wide to long format and vice versa
• Data Aggregation with Proc Means: Summarizing and aggregating data
• Data Merging and Joining: Combining datasets using merging and joining techniques
• Advanced Data Wrangling Techniques: Advanced data manipulation using SAS functions and features

Career Path

The Certificate in Data Wrangling with Proc & SQL is a valuable credential that equips learners with essential data manipulation skills. This section highlights the relevance of this certificate in the UK job market, focusing on three primary roles: Data Engineer, Data Analyst, and Data Scientist. Additionally, we've included a Business Intelligence Analyst role to showcase a broader perspective. The 3D pie chart below offers a visual representation of the job market trends in the UK for these roles. Each slice corresponds to a specific role and is proportional to its relevance in the industry. The chart has a transparent background and no added background color, allowing the content below to seamlessly blend in. Hovering over a slice will reveal its value, allowing for a quick understanding of the role's significance. With responsive design, the chart adapts to various screen sizes, ensuring optimal viewing on any device. By gaining hands-on experience with Proc and SQL through the certificate program, students will be well-equipped to pursue exciting career opportunities in data-driven fields. The skills gained from this certificate can lead to competitive salary ranges and high demand across industries. In conclusion, the Certificate in Data Wrangling with Proc & SQL is a powerful tool for launching or advancing a career in data-focused roles. The visualized statistics below demonstrate the impact of these skills in the UK job market.

Entry Requirements

Basic understanding of the subject matter
Proficiency in English language
Computer and internet access
Basic computer skills
Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

Not accredited by a recognized body
Not regulated by an authorized institution
Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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Earn a career certificate

CERTIFICATE IN DATA WRANGLING WITH PROC & SQL

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Learner Name

who has completed a programme at

London School of International Business (LSIB)

Awarded on

05 May 2025

Blockchain Id: s-1-a-2-m-3-p-4-l-5-e

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