Statistics and Data Wrangling for Analysis

This instructor-led2 days or 4 evenings + 14 days practical course equips delegates with the tools and a best practice methodology for employing statistical techniques through exploratory data analysis and modelling processes. It covers data wrangling, preparing, and cleaning data sets.

Beginner 0(0 Ratings) 0 Students enrolled
Created by PAIRVIEW LIMITED Last updated Thu, 24-Jun-2021 English
What will i learn?
  • At the successful completion of this course, you will be able to: Extract meaning from large data sets using a wide variety of machine learning, data mining, and data science techniques with the Python programming language.
  • Filter, slice, iterate and evaluate datasets with Python
  • Best practices in cleaning and preparing your data prior to analysis
  • Use statistical techniques to transform data into a ready-to-model format
  • Partitioning Data for Modelling and Modelling Techniques

Webinar Details
Date: 13 Jul, 2021 10:00:00 AM
Requirements
  • Ideally have previous experience of excel and manipulating data
+ View more
Description

This course is suitable for aspiring Data Science professionals looking to extend their existing capabilities into real business problems with machine learning applications across multiple vertical industries including Financial Services, Manufacturing, Healthcare, Pharma and Biotech, Retail, Travel & Hospitality and Energy & Utilities. 

Course Modules:

  1. Data Collection - Importing Data
  2. Data Pre-processing & Cleaning 
  3. Data Integration & Manipulation
  4. Data Transformation
  5. Data Reduction

Training Deliver Method:

  • Virtual Classroom Platform (Online) - Daytime: 9:30am - 4:30pm (2 Full Days), or Evening: 6:30pm - 9:30pm (4 Half Days).
  • (Compulsory) Course Assignments: 10-15 Days

Additional Services Related To This Course (available for signing up)

  • (Optional) Hands-on Work Experience: Acquire work experience by undertaking real-life projects. Delegates will be able to work on some of the most popular problems businesses across industry sectors are facing and need urgent solutions.
  • (Optional) Career Support: Our optional Career Support Package will give you a further leverage to get to your dream job and achieve your career ambition in the shortest time. The Package including CV Surgery and Interview Consultancy is available for subscription as an additional service to this training programme.


Please enquire our Consultants for more information.

+ View more
Other related courses
09:05:28 Hours
Updated Thu, 10-Jun-2021
3 76 Free
03:48:54 Hours
Updated Thu, 10-Jun-2021
0 5 ₦5,000
00:00:00 Hours
Updated Mon, 28-Jun-2021
0 0 ₦5,000
00:00:00 Hours
0 2 ₦5,000
00:00:00 Hours
0 1 ₦5,000
About the instructor
  • 0 Reviews
  • 0 Students
  • 17 Courses
+ View more

Pairview was established in 2009 as a business analytics consultancy and technology training company. Pairview is headquartered in London and rapidly expanding across the EMEA region. Pairview drives big data, analytics, and performance innovation within organisations through its range of products and services. Pairview works alongside businesses as a trusted partner, enhancing expertise, closing skills gaps and developing their Analytics Centre of Excellence to drive improvements to productivity, profitability and business growth. We also work with ambitious individuals to transform their careers by offering highly specialised training programmes and recruitment services in data and analytics.


We take pride in having a strong team of industry experts and certified technology specialists who are thought leaders in digital and analytical transformation and have extensive experience in major industry sectors including banking, financial services, insurance, telecommunications, energy, business services, and so on. Our expert knowledge, flexibility, and tailored supportive approach sets us apart in our quest to offer the highest quality services to our clients.

Student feedback
0
Average rating
  • 0%
  • 0%
  • 0%
  • 0%
  • 0%
Reviews
₦193,200
Buy now
Includes:
  • Full lifetime access
  • Certificate of completion
  • Compare this course with another