Course title :  Beginner Data Exploration and Distribution in Statistics  

Dive into the world of statistics with our Beginner Data Exploration and Distribution course. Learn essential skills in analyzing data and understanding distributions. Perfect for beginners looking to grasp statistical concepts. Gain valuable insights into data exploration techniques and distribution analysis. Master the basics of statistics in no time with our comprehensive online course. Ideal for students, professionals, and anyone interested in data analysis. Join now to start your journey into the fascinating field of statistics!

Description

Explore the fundamentals of data exploration and distribution in statistics with our Beginner Data Exploration and Distribution course. Perfect for beginners, this course provides a comprehensive introduction to statistical concepts, including data analysis techniques and distribution analysis. Dive into topics such as data visualization, descriptive statistics, probability distributions, and more. Gain practical skills in analyzing and interpreting data sets, preparing you for further studies or professional applications in fields like data science, finance, and research. Whether you're a student, professional, or enthusiast, this course offers valuable insights and hands-on experience to kickstart your journey in statistics. Join us today and unlock the power of data exploration and distribution!

Why Online ?

  • Cost effective - Typically UK diploma starts from GBP £3000 per annum, but with online study, you can enjoy saving more than 60% on your educational investment.
  • Practical Content - The coursework is immediately applicable to the careers, and you can earn long-term gains including increase in salary and promotions
  • Study anytime, anywhere - You don't have to attend a College campus, so you can study from anywhere in the world. The online delivery enables you to download the lecture notes, submit assignments wherever you are.
  • Assessments - Assessment is via assignment submission

Who is this course for?

Career path

Career options for those proficient in data exploration and distribution in statistics are diverse and in high demand. Graduates can pursue roles as data analysts, business analysts, market researchers, financial analysts, data scientists, statisticians, and research analysts. Industries seeking these skills include finance, healthcare, technology, marketing, government, and academia. With the increasing reliance on data-driven decision-making, professionals with expertise in data exploration and distribution are highly valued for their ability to extract insights, identify trends, and drive strategic initiatives. This course equips learners with essential skills to excel in various analytical roles across different sectors, providing a solid foundation for a successful career in statistics and data analysis.

 

 

Duration

The programme is available in 2 duration modes:

    • 6 Months
    • 9 Months
Entry Requirements

In order to apply you should have either:

    • OR;
Course Content
    1. Introduction to Data Exploration:
      • Overview of data exploration concepts
      • Understanding data types and structures
      • Exploratory data analysis techniques
    2. Descriptive Statistics:
      • Measures of central tendency (mean, median, mode)
      • Measures of dispersion (variance, standard deviation)
      • Data visualization techniques (histograms, box plots, etc.)
    3. Probability Distributions:
      • Introduction to probability concepts
      • Discrete and continuous probability distributions
      • Common probability distributions (normal, binomial, etc.)
    4. Sampling Distributions:
      • Sampling methods and techniques
      • Central Limit Theorem and its implications
      • Confidence intervals and hypothesis testing
    5. Exploratory Data Analysis (EDA):
      • Data cleaning and preprocessing
      • Exploring relationships between variables
      • Detecting outliers and anomalies
    6. Data Visualization:
      • Using visualization libraries (matplotlib, seaborn, etc.)
      • Creating effective visualizations for data exploration
      • Interpreting and communicating insights from visualizations
    7. Introduction to Inferential Statistics:
      • Population vs. sample
      • Estimation and hypothesis testing
      • Parametric and non-parametric tests
    8. Statistical Modeling:
      • Linear regression analysis
      • Logistic regression analysis
      • Model evaluation and interpretation
    9. Introduction to Machine Learning:
      • Overview of machine learning concepts
      • Supervised vs. unsupervised learning
      • Basic machine learning algorithms (k-nearest neighbors, decision trees, etc.)
    10. Case Studies and Practical Applications:
      • Real-world examples and case studies
      • Applying data exploration and statistical techniques to solve problems
      • Hands-on projects and assignments.
Assessment

Assessment is via assignment submission

Fee Structure

The fee for the programme is as follows:

    • 6 Months - Accelerated mode @ GBP £1250
    • 9 Months - Standard mode @ GBP £950
Fee payment plans

The programme offers following fee payment plans:

    6 months programme● Payment option (a): GBP £416 x 3 monthly instalments
    ● Payment option (b): GBP £1187.50 x 1 instalment (We offer 5% bursary on total fee for students opting to pay in full)
    9 months programme● Payment option (c): GBP £190 x 5 monthly instalments
    ● Payment option (d): GBP £475 x 2 quarterly instalments
    ● Payment option (e): GBP £902.50 x 1 instalment (We offer 5% bursary on total fee for students opting to pay in full)
Accreditation

The programme is awarded by London School of International Business

How to apply?

Simply follow the 2 steps given below to apply:
1. Fill application form on-line at https://www.educationtraining.org.uk/enrolment-form/start.html
2. Pay application fee of GBP £10
(This can be paid online using credit or debit card)

Please visit our online application form to apply.