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Text of the page (random words):
n absolute deviation mad standard deviation variance 03 37 4 09 z score and empirical rule 02 14 4 10 coefficient of variation and its application 02 06 4 11 measures of shape 02 39 4 12 summarizing data 02 03 4 13 recap 00 54 4 14 case study one descriptive statistics 05 51 lesson 05 data visualization 23 36 preview 5 01 learning objectives 00 57 5 02 data visualization 02 15 5 03 basic charts 01 52 5 04 advanced charts 02 19 5 05 interpretation of the charts 02 57 5 06 selecting the appropriate chart 02 25 5 07 charts do s and dont s 02 47 5 08 story telling with charts 01 29 5 09 data visualization example 02 41 5 10 recap 00 50 5 11 case study two data visualization 03 04 lesson 06 probability 21 51 preview 6 01 learning objectives 00 55 6 02 introduction to probability 03 10 6 03 probability example 02 02 6 04 key terms in probability 02 25 6 05 conditional probability 02 11 6 06 types of events independent and dependent 02 59 6 07 addition theorem of probability 01 58 6 08 multiplication theorem of probability 02 08 6 09 bayes theorem 03 10 6 10 recap 00 53 lesson 07 probability distributions 24 45 preview 7 01 learning objectives 00 52 7 02 probability distribution 01 25 7 03 random variable 02 21 7 04 probability distributions discrete vs continuous part a 01 44 7 05 probability distributions discrete vs continuous part b 01 45 7 06 commonly used discrete probability distributions part a 03 18 7 07 discrete probability distributions poisson 03 16 7 08 binomial by poisson theorem 02 28 7 09 commonly used continuous probability distribution 03 22 7 10 application of normal distribution 02 49 7 11 recap 01 25 lesson 08 sampling and sampling techniques 36 45 preview 8 01 learnning objectives 00 51 8 02 introduction to sampling and sampling errors 03 05 8 03 advantages and disadvantages of sampling 01 31 8 04 probability sampling methods part a 02 32 8 05 probability sampling methods part b 02 27 8 06 non probability sampling methods part a 01 42 8 07 non probability sampling methods part b 01 25 8 08 uses of probability sampling and non probability sampling 02 08 8 09 sampling 01 08 8 10 probability distribution 02 53 8 11 theorem five point one 00 52 8 12 center limit theorem 02 14 8 13 sampling stratified sampling example 04 35 8 14 probability sampling example 01 17 8 15 recap 01 07 8 16 case study three sample and sampling techniques 05 16 8 17 spotlight 01 42 lesson 09 inferential statistics 37 08 preview 9 01 learning objectives 01 04 9 02 inferential statistics 03 09 9 03 hypothesis and hypothesis testing in businesses 03 24 9 04 null and alternate hypothesis 01 44 9 05 p value 03 22 9 06 levels of significance 01 16 9 07 type one and two errors 01 37 9 08 z test 02 24 9 09 confidence intervals and percentage significance level part a 02 52 9 10 confidence intervals part b 01 20 9 11 one tail and two tail tests 04 43 9 12 notes to remember for null hypothesis 01 02 9 13 alternate hypothesis 01 51 9 14 recap 00 56 9 15 case study 4 inferential statistics 06 24 hypothesis testing lesson 10 application of inferential statistics 27 20 preview 10 01 learning objectives 00 50 10 02 bivariate analysis 02 01 10 03 selecting the appropriate test for eda 02 29 10 04 parametric vs non parametric tests 01 54 10 05 test of significance 01 38 10 06 z test 04 27 10 07 t test 00 54 10 08 parametric tests anova 03 26 10 09 chi square test 02 31 10 10 sign test 01 58 10 11 kruskal wallis test 01 04 10 12 mann whitney wilcoxon test 01 18 10 13 run test for randomness 01 53 10 14 recap 00 57 lesson 11 relation between variables 20 07 preview 11 01 learning objectives 01 06 11 02 correlation 01 54 11 03 karl pearson s coefficient of correlation 02 36 11 04 karl pearsons use cases 01 30 11 05 correlation example 01 59 11 06 spearmans rank correlation coefficient 02 14 11 07 causation 01 47 11 08 example of regression 02 28 11 09 coefficient of determination 01 12 11 10 quantifying quality 02 29 11 11 recap 00 52 lesson 12 application of statistics in business 17 25 preview 12 01 learning objectives 00 53 12 02 how to use statistics in day to day business 03 29 12 03 example how to not lie with statistics 02 34 12 04 how to not lie with statistics 01 49 12 05 lying through visualizations 02 15 12 06 lying about relationships 03 31 12 07 recap 01 06 12 08 spotlight 01 48 lesson 13 assisted practice 11 47 assisted practice problem statement 02 10 assisted practice solution 09 37 view more programme syllabus view schedules contact us 44 8000 8854 74 industry projects project 1 sales analysis for business growth analyze the sales data of a retail clothing company and support the management in formulating their sales and growth strategy project 2 marketing campaign analysis perform exploratory data analysis and hypothesis testing to better understand the various factors contributing to customer acquisition project 3 real estate data visualization analyze the housing dataset using various types of plots to gain insights into the data project 4 housing price analysis analyze housing data to uncover insights into house prices comprehend the elements influencing house prices and understand the impact of various house features on their price project 5 customer behaviour analysis utilize various probability distributions to analyze customer behaviors and store performance metrics using a custom dataset prev next data science with python exam certification who provides data science with python certification the data science with python certification is provided by simplilearn after completing the course learners will receive a completion certificate this industry recognized course has lifelong validity this certificate demonstrates your expertise in data science concepts using python and acts as a valuable addition to your resume what do i need to unlock my simplilearn certificate the requirements depend on your chosen learning mode online classroom attend one complete batch of the data science with python training and submit at least one completed project online self learning complete at least 85 of the course content and submit at least one completed project data science with python course reviews linkedin arvind kumar technology lead attending the data science with python course was enriching vaishali my instructor adeptly led each session all topics were explained with in depth theory real time examples and practical python applications her teaching approach truly amplified the learning journey linkedin mushtaque ansari senior software developer i thoroughly enjoyed my data science with python course at simplilearn vaishali s adept teaching blending theory with practical applications in live sessions made complex concepts clear grateful for the enriching experience linkedin brian program manager igpm rbei the training for the data science with python course was meticulously organized led by a seasoned instructor proficient in practical application the trainer handled responses and queries efficiently with a good amount of patience ensuring a smooth learning experience linkedin vignesh manikandan the data science with python course offered online was excellently structured facilitating rapid learning vaishali s expertise and professionalism ensured each session was insightful grateful for the wealth of knowledge gained in such a short span linkedin darshan gajjar i learned a lot about python numpy pandas visualization the instructor swagat was excellent in explaining things clearly the support team is also accommodative and resolves issues instantly linkedin aashish kumar i completed this course at simplilearn the faculty prashanth nair was extremely knowledgeable and the entire class appreciated his way of teaching simplilearn s support team was very accommodating and quick in providing responses i was able to grab a 30 hike in my salary after getting certified linkedin nikhil lohakare the sessions are very interesting and easy to understand i enjoyed each and every one of them thanks to the trainer prashant linkedin c muthu raman simplilearn facilitates a brilliant platform to acquire new relevant skills at ease well laid out course content and expert faculty ensure an excellent learning experience linkedin mukesh pandey simplilearn is an excellent platform for online learning their course curriculum is comprehensive and up to date we get lifetime access to the recorded sessions in case we need to refresh our understanding if you are looking to upskill i suggest you sign up with simplilearn they offer classes in almost all disciplines linkedin dastagiri durgam incredible mentorship and amazing and unique lectures simplilearn provides a great way to learn with self paced videos and recordings of online sessions thanks simplilearn for providing quality education linkedin surendaran baskaran i took this course with simplilearn the instructor is knowledgeable and shares their skills and knowledge my learning experience has been outstanding with simplilearn the practice labs and materials are helpful for better learning thank you simplilearn happy learning linkedin shiv sharma prashant nair is an awesome faculty the way he simplifies relates and explains topics is outstanding i would love to enroll for and attend all his classes linkedin akash raj technology engineer the instructor not only delivers the lecture but also focuses on practical aspects related to the subject this is something about the course that really impressed me linkedin rakshith ramesh software program lead engineer i wanted to advance my career in the semiconductor industry so i took a data science with python course simplilearn s curriculum appealed to me and my experience was enriching the instructors were knowledgeable and i learned both data science and python this certification led to a job at lam research with a 110 salary increase linkedin satabdi adhikary simplilearn s courses are affordable and helped me learn something new during the lockdown moreover i also got to add a well known global name like simplilearn to my resume i could choose the trainer as well as enroll for multiple sessions using the flexible pass prev next why join this program develop skills for real career growth cutting edge curriculum designed in guidance with industry and academia to develop job ready skills learn from experts active in their field not out of touch trainers leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule learn by working on real world problems capstone projects involving real world data sets with virtual labs for hands on learning structured guidance ensuring learning never stops 24x7 learning support from mentors and a community of like minded peers to resolve any conceptual doubts data science with python training faqs what is data science with python certification the data science with python certification showcases your expertise in using python for data analysis machine learning and data visualization it tests your knowledge in statistical analysis data manipulation using libraries such as pandas and numpy and machine learning tools simplilearn s data science with python course equips you to ace these skills to solve real world data problems what skills should a data science expert know with data science being a very in demand role an expert in this field should have the following skills data wrangling data visualization web scraping python programming concepts scikitlearn package for natural language processing data exploration mathematical computing our data science with python course will help you gain all the above skills and have a flourishing career as a data scientist what is the career path after completing the python data science course after completing the course you can start as a data analyst junior data scientist or machine learning engineer with experience you can be promoted to senior roles such as senior data scientist data engineer or analytics consultant where you can work on advanced data projects develop sophisticated models and contribute to strategic business decisions as your skills and expertise grow you may also move into leadership research or data strategy positions what will be the expected salary range after earning a data science with python certification data scientists with python certifications are in high demand in india professionals with python skills earn an average annual salary of inr 14 5 lakhs while in the united states the average salary is approximately usd 102 123 salaries may vary based on experience location and job role which industries use data science the most data science has applications in every industry however some industries use it more extensively these include retail healthcare banking and finance construction communications media and entertainment education energy and utility will missing a live class affect my ability to complete the course no missing a live class will not affect your ability to complete the python data science course with our flexi learn feature you can watch the recording of a missed class anytime visit the simplilearn learning platform select the missed class and watch the recording to mark your attendance what does a data scientist with python skills do a data scientist with python skills uses the language to analyze large and complex data sets they apply statistical methods and machine learning algorithms to uncover patterns and insights using python libraries like pandas numpy and scikit learn they clean data build predictive models and create visualizations to support data driven decisions who are the instructors for this data science with python course and how are they selected the instructors for this data science with python course are industry experts with extensive experience in the field they are selected based on expertise industry recognition and teaching ability to ensure you receive top quality education and insights how do i enroll in the data science with python course the admission process for the python data science course consists of three simple steps candidates can apply through the online application form an admission panel will shortlist the candidates based on their application an offer of admission will be made to the selected candidates which they can accept after paying the program fee candidates will receive a payment receipt and access information once payment is confirmed what job roles are available after obtaining a data science with python certification after getting a data science with python certification you can work as a business analyst database administrator big data engineer or data architect data analyst ml engineer business intelligence bi developer business intelligence analyst statistician data scientist computer vision cv engineer natural language processing nlp engineer mlops engineer does simplilearn have corporate training solutions simplilearn for business works with fo...