Data Science (Python) for Working Professionals - with Personal Guidance

 Online Class

1004   Users Booked

S$ 251   S$ 78

SYLLABUS

Total Sessions: 27 | Total Hours: 30 Hours

1. How to use the inbuilt AI based Code Editor(1 Session)
Learn why we have this super cool AI based code editor for you. Also, learn how to make the best use of it.
2. Introduction to Python and IDE(1 Session)
Different flavors and platforms, Install Anaconda, Python IDE: Spyder, Setting your work directory, The libraries that you should know, IPython and Python Notebook.
3. Introduction to Python Programming and Data Type(1 Session)
Introduction to Python Programming, Python Handson, Data Type, Tuples and Dictionary, List and Set
4. Numpy Packages and its Handson(1 Session)
Numpy Package, Creating ndarrays, Indexing, Data Processing using Arrays and File Input & Output.
5. Pandas Packages and its Handson(1 Session)
Introduction to Pandas Packages, Pandas Packages Handson, Create the Dataframe and List and Dataframe and Set and OTS Hanson
6. Data Visualization using Matplotlib Packages(1 Session)
Introduction to Data Visualization, Handson Line Graph, Pie Chart, Bar Graph and Scatter Plot, Handson Exercise using Matplotlib
7. Descriptive Statistics using Pandas(1 Session)
Introduction to Descriptive statistics and central Tendency, Measure of Dispersion, Distribution of Shape and Outliers, Descriptive Statistics Handson
8. Hypothesis Testing and its Process(1 Session)
Introduction to Hypothesis, Hypothesis Formulation and Process, Errors in Hypothesis
9. Inferential Statistics using Scipy (1 Session)
Introduction to Inferential statistics, Non Parametric Test using Scipy, Non Parametric Test Handson, Parametric Test handsome using Scipy
SHOW MORE SESSIONS
10. Data Preparation Process and EDA(1 Session)
This part cover Data Preparation Process and Exploratory Data Analysis (EDA)
11. Measurement and Scaling(1 Session)
This part cover Data Analysis, Comparative Scaling Techniques and Non Comparative Scaling Techniques
12. Data Collection and Data Treatment(1 Session)
This part cover Data Collection Methods and Data Types and Data Source error and Data Treatment.
13. Correlation and Application(1 Session)
Introduction to Correlation, Product Moment Correlation and Its Application, Correlation Using Hypothesis Test, Correlation Handson using scipy packages
14. Questionnaire Design Process(1 Session)
This part cover Questionnaire Design Process, Application on Questionnaire Design
15. Linear Regression and it is Application(1 Session)
This part cover Linear Regression Introduction, Simple Regression using Hypothesis testing, Multiple Regression and it is an Assumption, Simple and Multiple Regression Handson using Python codes
16. Probability and its Bayes Theorem(1 Session)
This part cover Probability Introduction and its Application, Bayes Theorem using Probability
17. Discrete Probability Distribution(1 Session)
Discrete Probability Distribution - Binomial and Poisson, Hypergeometric Distribution and its Application
18. Continuous Probability Distribution(1 Session)
This part cover Continuous Probability, Uniform, Normal and Exponential Distribution, Application of Continuous Probability Distribution
19. ANOVA - Analysis of Variance(1 Session)
This part cover ANOVA Using Hypothesis Testing, Handson using Python
20. ANCOVA - Analysis of Covariance(1 Session)
This part cover ANCOVA using Hypothesis Testing and Handson
21. Discrimiant Analysis(1 Session)
This part cover Discriminant Analysis and its Application and Handson using Python
22. Logistic Regression(1 Session)
Logistic Regressions Methods and Application and Handson using Sklearn Packages
23. Time Series(1 Session)
This part cover Components and Smoothing and Forecasting Methods and Handson
24. Factor Analysis(1 Session)
This part cover PCA and Rotation Method, Real Time Case Study and Hands on Using Sklearn
25. Cluster Analysis(1 Session)
This part Hierarchical Clustering, Non Hierarchical Clustering and Handson Using Cluster Analysis
26. Data Architecture(1 Session)
This part cover Data Architecture and Data Warehousing and Multidimensional Model
27. Build your Github profile(1 Session)
Learn how to create your Github profile and how to add the code snippet to it. Bonus: Learn why Github is important for your CV and how to add Github profile to your CV.
CLASS SUMMARY
Is this yet another online course? NO. This is Braingroom's signature 'Nudge factor' program.
Wait, what is a Nudge factor program? Your course completion is our end goal. Our commitment to you doesnt just end when you buy the course. We are committed to get you to COMPLETE this course within a timeframe (thats mutually agreed upon while you sign up with us). We also carve out a personalized study plan for you based on many parameters, to ensure that your time is well utilised. We very well understand that you, as a working professional, will already be working for 9-10 hours a day. So, we guarantee that the 1-2 hours (daily) that you decide to invest with us, will be put to your good use.
Highlights of Braingroom's Nudge factor program:
1. You will have a dedicated and personal mentor who will be in touch with you daily (through whatsapp) and help you stay motivated to complete your daily lesson targets. Why whatsapp? Well, we promised to nudge you to complete the course and we find whatsapp perfect for this.
2. You will receive a FREE personalized study plan (based on your availability, target and comfort level). You and your mentor will be following this schedule very religiously.
3. Our mentor's goal will be to help you complete this course.
The course is taken by Dinesh Babu a CBAP certified professional and a Senior Business Analyst. He undertakes Data Analysis Training for Indian as well as students overseas.During his teaching with spans over 8 years, his deep knowledge and expertise on the subject has won his several awards the most notable of which is the Best Data Science Teacher in Delhi- 2017.
This course gives an introduction into the field of business intelligence and business analytics-domains which extensively use data to take decisions. The course delves into statistics, quantitative analysis, exploratory predictive models, and fact-based management which are indispensable tools for any aspiring data scientist/analyst.
Following are the specialties of the program:
1. We have a live prime time questions support in the app itself with the tutor (https://play.google.com/store/apps/details?id=com.braingroom.user)
2. 20minute rule Quiz questions on topics learned in the interval of every twenty minutes
3. Weekly assignments and prereading / postreading content will be shared as project material
4. Curated course conducted with inputs from industry experts
5. Online classes can be taken at any place and at any time as per the learner's convenience & availability
ABOUT CLASS
This course gives you a complete understanding of Data Science and Machine learning from basics to advanced level.
Any prerequisites? well 'interest and motivation' is a prerequisite. In this course, we will cover beginner level too, so dont worry if you dont know the basics.
ABOUT ACADEMY
The Tutor:-
Dinesh Babu ,B.Tech,MBA,Ph.D with dual specialization in Finance and Operation. He completed Ph. D. in Data Analysis from BITS, Pilani. Currently,a Senior Business Analyst in a MNC.His zeal and passion for up-scaling youth has propelled him into teaching and the 8 years that followed has seen him get several awards and citations.
Braingroom Skill Centre:-
We are happy to host Mr. Dinesh Babu energetic tutor in our portal for conducting Machine Learning through Python. Currently under the elite FACEBOOK SheLeadsTech India mentorship program, Braingroom has built a name for itself being an education and learning platform where we have a wide offering of multilingual online and offline classes with the vision of upskilling India's youth. With 20000+ Online Leaners, 2000+ Classes in 55+ Categories and with an experience of having trained 30000+ students (Online + Offline) and expertise/Industry connects enabling 100s of Students Internships, Braingroom Skill centre stands tall among competition in the online learning space as the only complete online learning ecosystem in the country.
Reviews (11)
Thamim Ansari
Thamim Ansari
19 September 2019
They handholded me and helped me finish the course
Amit Mandhare
Amit Mandhare
16 September 2019
i bought another course on Coursera an year back, but never finished even 20% of the course. but braingroom's nudge program kept me motivated. believe it or not, i finished the course in under 4 weeks (30 hours of video content). i strongly recommend Nudge program for all those who have started courses but not completed it
Aravind
Aravind
13 September 2019
Course manager motivated me whenever I slacked off
Lionel Ab
Lionel Ab
09 September 2019
The regular follow-up made me to finish soon, else i would have never finished the course
Dunstan Martin
Dunstan Martin
03 September 2019
The motivational quotes kept me on track
S Karthik
S Karthik
01 September 2019
The team was very supportive and helped me keep my focus on
Vihari Kanuri
Vihari Kanuri
29 August 2019
I have been learning lot of things. Really happy with braingroom online python course. I can able to access this course 1 year.
Kashif Razvi
Kashif Razvi
22 August 2019
Industry relevant, practical and very well structured...my verdict -take it!!
Kiran Reddy
Kiran Reddy
04 August 2019
I work as a Developer and took up this course after my colleague recommended it and I never regretted this desicion.There was so much of learnings packed into a month that for any coding geeks like me it would be a heaven.
Abhi Dey
Abhi Dey
30 July 2019
Course is very good and their support team are available at any time.they were very polite and friendly
Aditi Rustagi
Aditi Rustagi
18 July 2019
The projects and hackathon certificates which I uploaded on my Github profile helped me in getting interview calls from several companies
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