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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

***Offer Ends Today*** Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back Do you know that entry-level data analysts earn an average of £40,000 annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our Data Analyst Job Ready Program is here to guide you all the way until you get the job you want. Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. By choosing our Data Analyst Job Ready Program, you're not just gaining skills; you're gaining a lifelong career partner. Our mission is simple - to be your trusted partner every step of the way, from Training to Employment. Enrol Now and Kickstart Your Data Analytics Career. Don't miss this opportunity to transform your career with the Data Analyst Job Ready Program. With our comprehensive training, career support, and money-back guarantee, you're not just enrolling in a program; you're investing in a brighter future. Join us now and become a part of the next generation of data analysts! In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts, so we can help you get the job you want. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and start your journey to becoming a successful Data Analyst! Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst Job Ready Program: Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis. One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data analysts. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. 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Courses we will provide once you enrol in the program: Course 01: Introduction to Data Analysis Course 02: Business and Data Analytics for Beginners Course 03: Data Analytics with Tableau Course 04: Quick Data Science Approach from Scratch Course 05: Learn MySQL from Scratch for Data Science and Analytics Course 06: SQL for Data Science, Data Analytics and Data Visualization Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: Basic Google Data Studio Course 09: R Programming for Data Science Course 10: Python Data Science with Numpy, Pandas and Matplotlib Course 11: Complete Python Machine Learning & Data Science Fundamentals Course 12: 2021 Data Science & Machine Learning with R from A-Z Course 13: Microsoft Excel Complete Course Course 14: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 15: Data Center Training Essentials: General Introduction Course 16: Excel Data Analysis Course 17: Data Entry Administrator Training Course 18: SQL Masterclass: SQL For Data Analytics Course 19: Business Data Analysis Course 20: Master JavaScript with Data Visualization How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Analyst Job Ready Program with Career Support & Money Back Guarantee is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us. CPD 1000 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Analyst Job Ready Program is perfect for: Beginners eager to break into the field of data analytics and get a job. Professionals looking to move their career towards data science. Individuals seeking a comprehensive understanding of data analysis tools and techniques. Those aiming for a career upgrade with advanced analytics skills. Anyone interested in gaining practical, job-ready skills in data analytics and machine learning. Career path This Data Analyst Job Ready Program will help you get a job in different roles, such as: Entry-Level Data Analyst: £25,000 - £35,000 Mid-Level Data Analyst: £35,000 - £60,000 Senior Data Analyst: £50,000 - £80,000 Data Scientist: £40,000 - £100,000 Data Analytics Manager: £60,000 - £100,000 Business Intelligence Analyst: £30,000 - £75,000 Machine Learning Engineer: £45,000 - £80,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Welcome to the data manipulation in Python course. Our goal in this course is to provide you with all the tools and skills necessary to master Python, NumPy, and Pandas for data science. No previous skills or expertise are required. Only a drive to succeed!

Are you looking to elevate your professional skills to new heights? Introducing our Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma, a QLS-endorsed course bundle that sets a new standard in online education. This prestigious endorsement by the Quality Licence Scheme (QLS) is a testament to the exceptional quality and rigour of our course content. The bundle comprises 11 CPD-accredited courses, each meticulously designed to meet the highest standards of learning. This endorsement not only highlights the excellence of our courses but also assures that your learning journey is recognised and valued in the professional world. The purpose of Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma is to provide learners with a comprehensive, skill-enriching experience that caters to a variety of professional needs. Each course within the bundle is crafted to not only impart essential knowledge but also to enhance practical skills, ensuring that learners are well-equipped to excel in their respective fields. From gaining cutting-edge industry insights to mastering critical thinking and problem-solving techniques, this bundle is an amalgamation of learning experiences that are both enriching and empowering. Moreover, Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma goes beyond just online learning. Upon completion of the bundle, learners will receive a free QLS Endorsed Hardcopy Certificate & 11 CPD Accredited PDF Certificate, a tangible acknowledgement of their dedication and hard work. This certificate serves as a powerful tool in showcasing your newly acquired skills and knowledge to potential employers. So, why wait? Embark on this transformative learning journey today and unlock your potential with Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma! This premium bundle comprises the following courses, QLS Endorsed Course: Course 01: Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Advanced Diploma CPD QS Accredited Courses: Course 02: Statistical Concepts and Application with R Course 03: Learn Financial Analytics and Statistical Tools Course 04: Statistical Analysis Course 05: Quick Data Science Approach from Scratch Course 06: Complete Python Machine Learning & Data Science Fundamentals Course 07: Mathematics Fundamentals - Percentages Course 08: Mathematics Fundamentals Course 09: Computer Simulation of Realistic Mathematical Models Course 10: Mastering Microsoft Office: Word, Excel, PowerPoint, and 365 Course 11: Decision Making and Critical Thinking Course 12: Time Management Training - Online Course Learning Outcomes Upon completion of the bundle, you will be able to: Acquire industry-relevant skills and up-to-date knowledge. Enhance critical thinking and problem-solving abilities. Gain a competitive edge in the job market with QLS-endorsed certification. Develop a comprehensive understanding of Data Science & Machine Learning. Master practical application of theoretical concepts. Improve career prospects with CPD-accredited courses. The Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diplomaoffers an unparalleled learning experience endorsed by the Quality Licence Scheme (QLS). This endorsement underlines the quality and depth of the courses, ensuring that your learning is recognised globally. The bundle includes 11 CPD-accredited courses, each meticulously designed to cater to your professional development needs. Whether you're looking to gain new skills, enhance existing ones, or pursue a complete career change, this bundle provides the tools and knowledge necessary to achieve your goals. The Quality Licence Scheme (QLS) endorsement further elevates your professional credibility, signalling to potential employers your commitment to excellence and continuous learning. The benefits of this course are manifold - from enhancing your resume with a QLS-endorsed certification to developing skills directly applicable to your job, positioning you for promotions, higher salary brackets, and a broader range of career opportunities. Embark on a journey of professional transformation with Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma today and seize the opportunity to stand out in your career. Enrol in Data Science & Machine Learning now and take the first step towards unlocking a world of potential and possibilities. Don't miss out on this chance to redefine your professional trajectory! Certificate of Achievement: QLS-endorsed courses are designed to provide learners with the skills and knowledge they need to succeed in their chosen field. The Quality Licence Scheme is a distinguished and respected accreditation in the UK, denoting exceptional quality and excellence. It carries significant weight among industry professionals and recruiters. Upon completion, learners will receive a Free Premium QLS Endorsed Hard Copy Certificate titled 'Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Advanced Diploma' & 11 Free CPD Accredited PDF Certificates. These certificates serve to validate the completion of the course, the level achieved, and the QLS endorsement. Please Note: NextGen Learning is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma bundle is ideal for: Professionals seeking to enhance their skills and knowledge. Individuals aiming for career advancement or transition. Those seeking CPD-accredited certification for professional growth. Learners desiring a QLS-endorsed comprehensive learning experience. Requirements You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background. Career path Upon completing the Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma course bundle, each offering promising prospects and competitive salary ranges. Whether you aspire to climb the corporate ladder in a managerial role, delve into the dynamic world of marketing, explore the intricacies of finance, or excel in the ever-evolving field of technology. Certificates CPD Quality Standard Certificate Digital certificate - Included Free 11 CPD Accredited PDF Certificates. QLS Endorsed Certificate Hard copy certificate - Included

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.

Whether you're a beginner looking to start your coding journey or an experienced developer aiming to dive into data science and machine learning, this comprehensive course has you covered. In this Python bundle, you'll embark on a transformative learning journey through 11 carefully curated courses. First, you'll lay the foundation with "Python Programming: Python Coding Essential Training," where you'll grasp the fundamentals of Python coding. Then, you'll advance into the world of data with the "Data Structures Complete Course," equipping you with the skills to manipulate and manage data efficiently. But that's just the beginning. With courses spanning data science, machine learning, cloud computing, SQL programming, business intelligence, and critical thinking, this bundle is your passport to a versatile skill set that's in high demand. By enrolling in this course, you're investing in a brighter future, gaining the knowledge and expertise that will open doors to exciting career opportunities and enable you to tackle real-world challenges. Don't miss out on this chance to become a Python powerhouse and shape your professional destiny. This Python Powerhouse: Python Bundle Course for All Levels Bundle Consists of the following Premium courses: Course 01: Python Programming: Python Coding Essential Training Course 02: Data Structures Complete Course Course 03: Data Science with Python Course 04: Data Science & Machine Learning with Python Course 05: Python for Data Analysis Course 06: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 07: SQL Programming Complete Bundle Course 08: Higher Order Functions in Python - Level 03 Course 09: Basic Google Data Studio Course 10: Business Intelligence and Data Mining Masterclass Course 11: Decision Making and Critical Thinking Learning Outcomes Upon completion of this bundle, you should be able to: Develop a solid foundation in Python programming, enabling them to apply coding skills efficiently. Acquire a deep understanding of data structures and their applications in healthcare data management. Master the use of Python for data science, allowing them to analyse healthcare data and extract valuable insights. Explain SQL programming, which is crucial for handling healthcare databases and managing patient information securely. Explore higher-order functions in Python, enhancing their problem-solving skills and programming capabilities. Develop basic proficiency in Google Data Studio, a valuable tool for visualising healthcare data. Master business intelligence and data mining techniques are specific to the healthcare industry. "Python Powerhouse: Python Bundle Course for All Levels" is your gateway to mastering Python and unleashing its potential across various domains. This comprehensive course comprises 11 meticulously designed modules, each geared towards equipping learners with essential skills and knowledge. Starting with "Python Programming: Python Coding Essential Training," you'll build a strong foundation in Python, a programming language known for its versatility and widespread use. As you progress through the "Data Structures Complete Course," you'll delve into the world of efficient data manipulation, a fundamental skill applicable in numerous professional settings. One of the highlights of this bundle is "Data Science with Python," which empowers learners to harness Python's capabilities for data analysis. In "Data Science & Machine Learning with Python," you'll take the next step, exploring advanced techniques that are vital in today's data-driven world. Furthermore, "Python for Data Analysis" enhances your proficiency in making data-driven decisions. Beyond data, you'll gain expertise in cloud computing, SQL programming, higher-order functions in Python, Google Data Studio, business intelligence, and critical thinking - all essential skills that can open doors to a multitude of career opportunities. This course is your passport to a fulfilling career by providing a comprehensive toolkit to excel in various domains and industries. Don't miss the chance to become a Python powerhouse and shape your professional destiny. CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is tailored for: Data Enthusiasts Intermediate Python Developers Data Visualisation Enthusiasts Aspiring Business Analysts Anyone interested in Python Requirements No requirements to enrol this Python Powerhouse: Python Bundle Course for All Levels course. Career path Upon completion, various career opportunities include: Software Developer (Average salary range of £35,000 to £70,000) Data Analyst (Average salary range of £25,000 and £60,000.) Machine Learning Engineer (Average salary range of £45,000 to £80,000) Web Developer (Average salary range of £30,000 to £65,000) Research Scientist (Average salary range of £40,000 to £75,000) Certificates CPDQS Accredited e-Certificate Digital certificate - Included CPDQS Accredited Hard-Copy Certificate Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Python Programming: Python Coding Essential Training) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.