1113 Statistics courses delivered Online

This course aims to teach you how to use Python for machine learning and data science.

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

>>24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now!<< Unlock a world of opportunities as a business intelligence analyst! In the UK, the demand for business intelligence professionals has soared by 25% in the past year alone, with average salaries exceeding £50,000 per annum. Join our course to master the art of business intelligence and seize your career's brightest future. Don't miss out! Enrol today and take your first step towards a lucrative career! This Diploma in Business Intelligence Analyst at QLS Level 5 course is Endorsed by The Quality Licence Scheme (with 150 CPD points) Accredited by CPDQS This Business Intelligence Analyst at QLS Level 5 training can help you accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Learning outcomes of this Diploma in Business Intelligence Analyst at QLS Level 5 Course: Upon successful completion of the Business Intelligence Analyst course, you'll be able to: Gain deep understanding of BI principles. Develop real-time BI proficiency. Master stats, vital for BI insights. Acquire SQL skills for effective BI. Grasp database essentials in BI. Delve into data warehousing within BI. Utilize data visualization, harness Python in BI tasks. Why Prefer This Business Intelligence Analyst at the QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another accredited by CPDQS, which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery.) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Business Intelligence Analyst at QLS Level 5 course: Module-1: An Introduction to Business Intelligence Module-2: Real-time Business Intelligence Module-3: Fundamentals of Statistics and Data Science Module-4: Fundamentals of SQL Module-5: Database Management Essentials Module-6: Data Warehouse Concepts Module-7: Data Visualisation in Business Intelligence Module-8: Basics of Python Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate for FREE endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Business Intelligence Analyst at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Diploma in Business Intelligence Analyst at QLS Level 5 course is perfect for Aspiring Business Intelligence professionals Data enthusiasts seeking BI expertise Professionals aiming for BI career advancement Those interested in data analysis Individuals pursuing data science roles Anyone keen on mastering BI essentials Requirements No prior background or expertise is required. Career path Business Intelligence Analyst: £40,000 to £70,000 Data Analyst: £30,000 to £55,000 Data Scientist: £50,000 to £85,000 Database Administrator: £35,000 to £65,000 Data Engineer: £45,000 to £80,000 Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Business Intelligence Analyst at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Business Intelligence Analyst at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme and also you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 150 CPD Points | Lifetime Access

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