Tech & IT
Business
Coding & Developer
Finance & Accounting
Academics
Office Applications
Art & Design
Marketing
Health & Wellness
Sounds & Music
Lifestyle
Photography
Free
7 days left at this price!
This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
Get Unlimited Learning Access
$29
7 days left at this price!
30-Day Money-Back Guarantee
This plan includes
- Access to 11,000+ Courses
- Ads free experience Courses
- Play & Pause Course Videos
HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Direct Support
- Email & Chat Support
- Cancel Anytime
$29
$29
What you'll learn?
- It is a complete guide of Statistics & Data Analysis concepts used in Education, Data Science and corporates with 100+ problems, and examples.
- If you are a Research Scholar, and/student or preparing for competitive exams (CFA/CMA/CA/CS/UGC/ PhD), building strong base for life in statistics, this course is must for you
- If you are in corporate, learn the tricks and gain the knowledge to outstand
- Land a High-Paying Job through the practical and theoretical knowledge of the course
- Work From Home as a Freelance consultant & Data analyst!
- Downloadable workout Notes for competitive exams and future reference purpose
- This course content itself is the combination of 4-5 different available courses in the market
- Do not think you I am teaching you remotely, I am always happy to clear your doubts. Just message me anytime!
Course Overview
Winners don't do different things, they do things differently. Complete course guide, separate guide/link of 700+ practice questions, downloadable resources, supportive animation/videos for better understanding.
With over 15+hours of complete statistics training, quizzes, and practical steps you can follow - this is one of the most comprehensive Statisticscourses available. We'll cover Probability, Descriptive statistics, Inferential statistics, Hypothesis Testing, Correlation Analysis, Regression Analysis, Modelling, Ch- Squared Test, Business Forecasting, and many more. This course is a great "value for money".
By the end of this course, you will be confidently implementing techniques across the major situations in Statistics, Business, and Data Analysis for research projects etc.
Pre-requisites
- Absolutely No experience required
Target Audience
- For all students like CFA/CMA/CA/CS/MBA/BCom/ MTech/ Ph.D/ Data Science/Corporate Learning
- Anyone looking to start a pick up highly paid freelancing skills
- Consultants who don't know where to get started
- People who want a career in Business Intelligence & Data Science
- Business executives & Business Analysts
- People who want to learn the fundamentals of statistics
- School/college students who wants to have strong base of Statistics
Curriculum 105 Lectures 13:28:18
-
Section 1 : Statistical Description of Data
- Lecture 2 :
- Mathematics Vs. Statistics
- Lecture 3 :
- Why we should learn Statistics
- Lecture 4 :
- History of the Statistics
- Lecture 5 :
- Who is the father of Statistics?
- Lecture 6 :
- Limitations of statistics
- Lecture 7 :
- Application of Data
-
Section 2 : Data Visualisation
- Lecture 1 :
- Simple and Multiple line chart
- Lecture 2 :
- Different types of Bar Diagrams
- Lecture 3 :
- Video explanation: Application of Bar charts
- Lecture 4 :
- Pie Chart
- Lecture 5 :
- Tabulation and its guidelines
- Lecture 6 :
- The Secret Locker & Key problem
- Lecture 7 :
- Concept of Frequency Distribution
- Lecture 8 :
- Important terms related to Frequency Distribution
- Lecture 9 :
- Graphical representation of Frequency Distribution, and HISTOGRAM
- Lecture 10 :
- Calculation of MODE from Histogram
- Lecture 11 :
- Frequency Polygon
- Lecture 12 :
- Ogives & Calculation of Median
- Lecture 13 :
- Ogives (continued)
- Lecture 14 :
- Types of frequency curves
-
Section 3 : Measurement of Central Tendency
- Lecture 1 :
- Concept of central tendency & Pethagorean Mean
- Lecture 2 :
- concept of Arithmetic Mean (A.M)
- Lecture 3 :
- Properties of A.M
- Lecture 4 :
- Geometric Mean (G.M)
- Lecture 5 :
- Properties of G.M
- Lecture 6 :
- Harmonic Mean (H.M)
- Lecture 7 :
- Properties of H.M
- Lecture 8 :
- Median for discrete data
- Lecture 9 :
- Properties of Median
- Lecture 10 :
- Properties of Mode
- Lecture 11 :
- Calculating central tendencies from open class frequency distribution
- Lecture 12 :
- concept of Quartiles, Deciles and Percentiles
- Lecture 13 :
- calculation of Quartiles, Deciles & Percentiles (discrete data)
- Lecture 14 :
- Calculation of Mean for group Frequency data
- Lecture 15 :
- using basic concept: Calculation of A.M (grouped frequency data)
- Lecture 16 :
- How to write Quartiles, Deciles & Percentiles formulae
- Lecture 17 :
- Calculation of Median for group Frequency data
- Lecture 18 :
- for open ended - unequal C.I data calculating Quartiles, Deciles and Percentiles
- Lecture 19 :
- Mode for discrete data
- Lecture 20 :
- Calculation of Mode for group Frequency data
- Lecture 21 :
- Empirical formula for easy calculation of Central tendencies
- Lecture 22 :
- Skewness
- Lecture 23 :
- Relation of Mean, Median & Mode for skewed curve
- Lecture 24 :
- Kutosis
-
Section 4 : Measurement Scales
- Lecture 1 :
- Categorical and Continuous data_ Nominal, Categorical, Interval & Ration Scales
- Lecture 2 :
- Variance & Bessel's Correction
- Lecture 3 :
- Fence_Wiskers_Inter Quartile Range_Outliers
- Lecture 4 :
- Covariance
- Lecture 5 :
- Population vs Sample mean
- Lecture 6 :
- Stem & Leaf display
- Lecture 7 :
- Valid & Reliable Data
-
Section 5 : Dispersions
- Lecture 1 :
- Measurement of dispersions
- Lecture 2 :
- Range & coefficient of Range
- Lecture 3 :
- Quartile Deviation & coefficient of Q.D
- Lecture 4 :
- Calculating QD for open ended C.I when cumulative frequency is given
- Lecture 5 :
- concept of Mean Deviations & coefficients of M.D
- Lecture 6 :
- Calculating M.D & Coefficient of M.D
- Lecture 7 :
- Standard Deviation
- Lecture 8 :
- Standard Deviation explained with animation
- Lecture 9 :
- Composite standard deviation
- Lecture 10 :
- Coefficient of variance
- Lecture 11 :
- Are you a selector of your national cricket team? Batsman Problem
- Lecture 12 :
- CV- missing frequency problem
- Lecture 13 :
- calculating correct mean & SD from Wrong mean & wrong S.D
-
Section 6 : Hypothesis Testing
- Lecture 1 :
- Concept of Hypothesis Testing
- Lecture 2 :
- Burden of proof
- Lecture 3 :
- Standard Error
- Lecture 4 :
- Why do we need Hypothesis testing?
- Lecture 5 :
- Difference between Std Error & std Deviation
- Lecture 6 :
- Type1 & Type 2 errors
- Lecture 7 :
- Forming Hypothesis correctly
- Lecture 8 :
- Examples- Forming Null & Alternate Hypothesis
- Lecture 9 :
- Lower, Upper & 2 tailed Test
- Lecture 10 :
- How to prove Hypothesis
- Lecture 11 :
- What if researchers set 0% error?
-
Section 7 : Theoretical Distribution
- Lecture 1 :
- Concept of data distribution
- Lecture 2 :
- Uniform distribution
- Lecture 3 :
- Binomial Distribution
- Lecture 4 :
- Application of Binomial Distribution
- Lecture 5 :
- Properties of Binomial Distribution
- Lecture 6 :
- Poison Distribution
- Lecture 7 :
- Application of Poison Distribution
- Lecture 8 :
- Poisson Distribution: Partial Interval
- Lecture 9 :
- Properties of Poison Distribution
- Lecture 10 :
- Normal Distribution,Standard Normal Distribution & formulae
- Lecture 11 :
- Normal Distribution & Standard Normal Distribution
- Lecture 12 :
- Z-Score & solving Business problems
-
Section 8 : Correlation Analysis
- Lecture 1 :
- Concept of Correlation Analysis
- Lecture 2 :
- Scattered Diagram
- Lecture 3 :
- Pearson's Correlation coefficient
- Lecture 4 :
- KP solved problem
- Lecture 5 :
- KP solved problem-2
- Lecture 6 :
- Covariance & KP correlation coefficient
- Lecture 7 :
- Spearmans rank Correlation Coefficient
- Lecture 8 :
- Spearman's Correlation Solved problem
- Lecture 9 :
- Coefficient of Concurrent Deviation
-
Section 9 : Regression Analysis
- Lecture 1 :
- Concept of Linear, Ordinal and Multiple Regression
- Lecture 2 :
- Linear Regression
- Lecture 3 :
- Minimum Least Square Method
- Lecture 4 :
- Regression Equations: 'x on y' & 'y on x'
- Lecture 5 :
- Regression Solved problem-1
- Lecture 6 :
- Predicting mom's height based on daughter's height
- Lecture 7 :
- Regression Solved problem-2
- Lecture 8 :
- Spurious Correlation & Coefficient of Determination
Our learners work at
Frequently Asked Questions
-
How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
-
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions. -
Is there any free trial?
Currently, we do not offer any free trial. -
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?
Instructor
130550 Course Views
1 Courses
A Philomath, author, trainer, copyright holder, Management consultant, and a seasoned professional with 12+ years of industry, teaching, training, and research experience of 5000+ CA/CS/MBA/BCom/ SPSS/ PMP/ Corporate students till date.
I am Ex-Vodafone. Reliance communication, Hughes like MNCs and worked as different capacity up to Associate Vice President (AVP)- Sales. I have reach experience in practical industry experience.
My interset is in Research Methodology, Strategic Marketing, Enterprise Information System, Project Management (PMP), Business Mathematics, Business Statistics, Operation Management, Entrepreneurship, Data Science, and SPSS.
View More...
