Certificate Programme in Data Wrangling for Predictive Analytics

Monday, 23 February 2026 00:33:37

International applicants and their qualifications are accepted

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Overview

Overview

Data Wrangling for Predictive Analytics Certificate Programme

Designed for aspiring data analysts and professionals seeking to enhance their predictive modeling skills, this comprehensive program focuses on data wrangling techniques essential for extracting, cleaning, and transforming data for predictive analytics. Participants will learn how to manipulate large datasets, handle missing values, and prepare data for machine learning algorithms. By mastering the art of data wrangling, learners will be equipped to make informed decisions and generate accurate predictions in various industries. Take the first step towards becoming a proficient data wrangler and enroll in this transformative certificate program today!

Data Wrangling for Predictive Analytics Certificate Programme is your gateway to mastering the art of transforming raw data into valuable insights. Gain hands-on experience in data cleaning, data preprocessing, and feature engineering to fuel accurate predictive models. Elevate your career with in-demand skills sought by top employers in the data science industry. Our expert-led curriculum equips you with the tools to tackle real-world data challenges effectively. Stand out in the competitive job market with a certification that showcases your proficiency in data wrangling techniques. Enroll now to unlock endless opportunities in the realm of predictive analytics!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

  • • Introduction to Data Wrangling
  • • Data Cleaning Techniques
  • • Data Transformation Methods
  • • Handling Missing Data
  • • Exploratory Data Analysis
  • • Feature Engineering for Predictive Analytics
  • • Data Integration and Transformation
  • • Data Visualization for Data Wrangling
  • • Data Preprocessing for Machine Learning
  • • Best Practices in Data Wrangling

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate Programme in Data Wrangling for Predictive Analytics

The Certificate Programme in Data Wrangling for Predictive Analytics is designed to equip participants with the necessary skills to clean, organize, and prepare data for predictive modeling and analysis. By the end of the programme, participants will be able to effectively wrangle data from various sources and formats to create reliable datasets for predictive analytics.

The programme typically lasts for 6 weeks and includes a combination of online lectures, hands-on exercises, and real-world projects. Participants will learn how to use popular data wrangling tools and techniques, such as data cleaning, transformation, and feature engineering, to prepare data for predictive modeling.

This certificate programme is highly relevant to industries that rely on predictive analytics for decision-making, such as finance, marketing, healthcare, and e-commerce. Participants will gain practical skills that are directly applicable to real-world data challenges, making them valuable assets to organizations looking to leverage data for predictive insights.

Why this course?

Year Number of Data Science Jobs in the UK
2018 25,000
2019 35,000
2020 45,000
The Certificate Programme in Data Wrangling for Predictive Analytics plays a crucial role in today's market, especially in the UK where the demand for data science professionals is rapidly increasing. According to recent statistics, the number of data science jobs in the UK has seen a significant rise over the past few years, with 45,000 jobs available in 2020 compared to 25,000 in 2018. This trend highlights the growing importance of data wrangling skills for predictive analytics in meeting the industry's needs. Professionals with expertise in data wrangling are highly sought after by companies looking to leverage data for making informed business decisions and gaining a competitive edge. By enrolling in a certificate programme focused on data wrangling, learners can acquire the necessary skills to excel in the field of predictive analytics and meet the demands of the market.

Who should enrol in Certificate Programme in Data Wrangling for Predictive Analytics?

Ideal Audience
Professionals seeking to enhance their data wrangling skills for predictive analytics
Individuals looking to advance their career in data science and analytics
Students interested in gaining practical experience in data manipulation and analysis
UK-specific: With the demand for data professionals in the UK expected to grow by 15% by 2025, this programme is ideal for those looking to capitalize on this trend