998 Data Science courses

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

Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Start Your Journey to Becoming a Data Analyst Expert Today, and Make Up to •75,000 The data analytics field is growing rapidly, and there is a high demand for qualified data analysts. With our Data Analyst Program, you can learn the skills you need to succeed in this exciting field. We will help you until you find a job, so you won't have to worry about a thing. Just gain knowledge and learn skills, getting you a job is our duty. Enrol today and take your career to the next level! With our program, we go above and beyond traditional training. We understand that landing a job isn't just about having the right skills-it's about having the right support system by your side. That's why we are committed to being with you every step of the way, from your job search to your ultimate success. Why Choose Us Here's what makes our Data Analyst Program stand out from the crowd: Personalised Job Search Assistance: We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed. Expertly Crafted CV: Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition. Strategic Placement: 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. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the data analysis field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse. Comprehensive Skill Development: Our program is designed to equip you with the most sought-after skills in data analysis. From mastering cutting-edge tools to honing your analytical prowess, we'll ensure you have the knowledge and expertise to excel in any data-driven environment. Here are the 25 courses we will provide once you enrol in the program: Course 01: Data Analysis Course 02: Data Science & Machine Learning with R Course 03: Data Analytics with Tableau Course 04: SQL Programming Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 06: Data Analytics Course 07: Python Data Science with Numpy, Pandas and Matplotlib Course 08: Google Analytics Course 09: Business Intelligence and Data Mining Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 11: JavaScript Functions Course 12: Data Protection and Data Security (GDPR) Training Certification Course 13: GDPR Training Course 14: Diploma in Python Programming Course 15: Data Center Training Essentials: General Introduction Course 16: Quick Data Science Approach from Scratch Course 17: Diploma in Statistics & Probability for Data Science & Machine Learning Course 18: Master JavaScript with Data Visualization Course 19: Data Analysis and Forecasting in Excel Course 20: AWS Certified Solutions Architect Associate Preparation Course 21: Statistical Analysis Course Course 22: SQL for Data Science, Data Analytics and Data Visualization Course 23: Learn MySQL from Scratch for Data Science and Analytics Course 24: Data Analysis & Forecasting Course 25: Data Structure These courses will help you to develop your knowledge and skills to become a successful data analyst. The Program is completed in 5 easy steps: Step 1 - Enrol in the program and start learning from the courses we provide After you enrol in the Data Analyst Program, you will get lifetime access to 25 premium courses related to data analysis. These courses will teach you the knowledge and skills required to become a successful data analyst. Our customer service team will help you and keep in contact with you every step of the way. Step 2 - Complete your courses and get certifications 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 for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 3 - Get a consultation session from a professional data analyst Take your data analysis skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward. Step 4 - Complete the CV and attend the interview Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your IT career with a starting salary ranging from •25,000 to •40,000 annually. Step into the IT industry with the assurance of a promising future. Step 5 - We will not leave you until you get a job Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in data analysis. Don't let your dream career as a data analyst remain out of reach. You just have to learn and gain knowledge and skills. Finding a job is our task! We will remove most of your worries and help you focus on only developing your skills. So join our Data Analyst Program today, and let us be your trusted partner on your journey to success. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Analyst Program is ideal for: Aspiring data analysts eager to launch a successful career in the field. Recent graduates seeking practical skills and industry insights to stand out in a competitive job market. Professionals looking to transition into the dynamic world of data analysis and capitalise on emerging opportunities. Individuals with a passion for numbers, problem-solving, and uncovering meaningful insights from complex datasets. Job seekers seeking comprehensive support and guidance throughout the entire job searching and job finding process. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements No experience required. Just enrol & start learning. Career path Our Data Analyst Program equips you with the skills to excel in data analysis roles. You'll thrive as a data analyst, data scientist, business analyst, or market research analyst, unlocking opportunities in diverse industries such as finance, healthcare, e-commerce, and technology. Act now, and let us guide you towards a brighter future. Enrol today! Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included Student ID Card Digital certificate - Included The Quality Licence Scheme Endorsed Certificate of Achievement Hard copy certificate - Included

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. Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. 100% Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. 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

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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