• 3 Hours Interactive Live Weekend Sessions
• Classes on Every Saturday & Sunday
• Get Hands-on Practical Learning Experience
• Mentored Live by Industry Experts
• Work on Real-World Projects & Case Studies
• Learn Pro Job Hunting Techniques
• Get Internship & 100% Placement Assistance
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In every 3 hours live session, along with learning, you will be solving problems live to get better and clear understanding of the concept.
Get 1-1 Chat Support for Doubt Clearance daily between 6PM - 12PM. Also get Live Doubt Support over Zoom Meeting between 8PM-9PM
Along with the Live sessions, get Assignments & Quizzes to practice your skill and boost your confidence.
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Week 1: Overview of python course, Intro to python, usecases, google colab, print statement, comment, variables, datatypes, typecasting, indexing, slicing, string operations, math functions
Week 2: Data Structures introduction, lists, conditional statements
Week 3: loops, functions, tuples, set , dictionary
Week 4: list comprehension, dict & set comprehension, recursion, file handling, error handling, introduction to OOPS
Week 5: Basics of Regex, intro to numpy, list vs numpy, numpy array indexing, numpy array reshaping, numpy slicing operations, numpy view vs copy, numpy hstack vs vstack, numpy concatenation, numpy insert append delete
Week 6: intro to pandas, pandas series, pandas dataframe, pandas concatenation, apply method, indexing dataframe(loc, iloc), pandas groupby, pandas date range
Week 7: Intro to data cleaning, Nan cases, missing values treatment, Imputation techniques, intro to EDA, matplotlib, seaborn, example using case study
Week 8:
- Algebra
- Introduction to algebraic equations and expressions
- Linear equations and systems of equations
- Exponents and logarithms
- Discrete Mathematics
- Combinatorics and probability
Week 9:
- Descriptive Statistics
- Measures of central tendency (mean, median, mode)
- Measures of dispersion (variance, standard deviation)
- Data visualization (histograms, boxplots, scatter plots)
- Inferential Statistics
- Probability distributions (normal, binomial, Poisson, etc.)
- Sampling and sampling distributions
- Hypothesis testing (t-tests, chi-square tests)
Week 10:
- Correlation and Regression Analysis
- Correlation coefficients (Pearson, Spearman)
- Simple linear regression
- Multiple linear regression
- Statistical Inference
- Confidence intervals
- Analysis of variance (ANOVA)
Week 11: Overview of machine learning concepts
- Types of machine learning: supervised, unsupervised, reinforcement learning
- Applications of machine learning in various industries
Week 12: Introduction to linear regression
- Simple linear regression: modeling relationships
- Multiple linear regression: handling multiple variables
Week 13:
- Model evaluation and metrics - Mean squared error (MSE), root mean squared error (RMSE)
- Coefficient of determination (R-squared)
- Techniques for improving regression models
- Feature selection and engineering
- Regularization methods (Lasso, Ridge)
Week 14:
- Introduction to logistic regression
- Understanding binary and multi-class classification problems
- Model interpretation and evaluation
- Confusion matrix and classification metrics (accuracy, precision, recall, F1-score)
- ROC curve and area under the curve (AUC)
Week 15: Practical implementation
- Building logistic regression models using Python
Week 16: Datatype, Absolute & Relative reference, Aggregation functions - Sum, max, min, count, average etc, CountA, CountBlank, Date and time related functions - DatedIF, Network Days, Workdays
Week 17: Logical functions like If else, Ifs, And, OR, Not
Conditional Formatting - Basic, Custom, Advanced - Named Range and Table range
Week 18 : Pivot table, Dashboard , Power Query & Power Pivot, Introduction to Data Modelling
Week 19 : Look up functions - VLookup, HLookup, Index, Match, Offset, Indirect , What if Analysis , Solver
Week 20: Introduction to BI and Power BI , Bar Charts, Pie Charts, Donut Chart, Funnel Chart, Ribbon Chart, Line Chart, Area Chart , Combo Chart, Scatter, Waterfall, Treemap Charts , Maps, Filled Maps
Week 21: Tables, Conditional Formatting, Matrix , Gauge Chart, Multirow Cards, Filter, Drill, Slicer, Animated Bar Chart, Word Cloud, Sunburst , Plyaxis, Scroller, Infographics , Inserting Objects in Power BI: Text, Image, Shapes
Week 22: Creating Reports in Power BI, Publishing in Power BI , Power BI Dashboard, How to Refresh Data in Power BI , Power Query Introduction , Adding/Removing Rows, Text Add-Columns-Transform Column
Week 23: Number Function, From Date Add Column Transform Column , Appending Sheets, Merging Sheets, Columns from Example, Conditional Column , Fill, GroupBy, Transpose , Keep and Remove Columns and Rows , Importing Dataset to SQL and Connecting to Power BI
Week 24: Creating and Deleting Relationships , Normalization 1NF, 2NF, 3NF , Denormalization, OLTP vs OLAP , Data Types and Operators , Intro to DAX, Date Function, Text Function, Logical Function, Introduction to M Language and List Tools , Custom Tools in M Language, Creating Your Own Query in M Language
Week 25: How to Use Python Script in Power BI , How to Use R Script in Power BI , Importing Data from SQL , Importing Data from OData , Connecting from Web Data , Intro to RLS , Static RLS, Dynamic RLS , Enhanced RLS , RLS with Manager Access
Week 26: Introduction to databases, ACID Properties, Data types in SQL, MYSQL Workbench, DDL, DML, Constraints, Where Clause, Group By clause, Having Clause, Order by, Top, Limit
Week 27: Subqueries, Joins(Inner join, Left outer join, Right outer join, Full outer join, self join, Cross join), String transformation, Date time manipulation, Case When Statements, Common Table Expressions (CTE & Recursive CTE)
Week 28: Window Functions(Aggregate Functions, Row number, Rank, Dense Rank, Percent Rank, Ntile, Lag, Lead, First value, Last value, nth_value), Stored Procedures, TCL(Commit, Rollback, Savepoint), Views
Week 29:
1. Census Salary Data Analysis
2. Supply Chain Analytics
3. IPL Data Analysis
4. COVID 19 Analysis
5. Loan Application Analysis
6. Superstore Analysis
Introduction to Tableau , Tableau Installation , User Interface , Dimensions and Measures, How to Prepare Charts using Tableau, Line Charts, Combined Axis and Area Charts, Dual Axis Charts
Working with Data , Properties of Fields , Dimension Filters , Measure Filters , Visual Filters, Sets , Parameters , Groups , Calculated Fields
Date Functions, Text Functions , Bins and Histogram , Sort Function
Introduction to Dashboard , Objects in Dashboard , Filters in Dashboard , Actions , Dashboard for Mobile , Story , Dashboard Interactivity
Union, Joins , Data Blending, Fixed LOD , Include LOD , Exclude LOD , Advanced Techniques
Some companies keep first round as aptitude to check thinking skills. In this course we have covered aptitude topics with their examples which are widely asked in aptitude round of interviews. This course is divided into Quantitative, logical and verbal aptitude sections. It will help learners to build logic on all 3 levels of aptitude.
Data Analytics Live Course Placement Assistance Program is intended to help you make your dream career a reality. This is not just another program, this is the best career guidance available in India.
When others are charging Lakh of Rupees for courses, our vision is to provide Industry Oriented courses @ most affordable price so everyone can learn. To get you placed, we have included some amazing features in this program mentioned below:
After completion of the Core Topics, you can apply for Industrial Internship. You will be working on various projects that will boost up your confidence and give you Real World Industrial Working Experience that you can mention in your resume. It can be 1 Month Internship with CloudyML. Based on your performance we can increase the internship period. You will get Certificate of Internship.
Along with helping you to improve your CV through Resume Review, we will optimize your LinkedIn profile. You will become a more qualified applicant and increase your chances of being chosen for job interviews.
To keep you informed, we will regularly email you about new Job Openings. Additionally, you will get employment recommendations (Job Referrals) for placements. Your job search will become simpler than ever.
We have connections with many data science companies and will conduct direct interviews for placement after the completion of your course. This is an another advantage of participating in this Data Analytics Placement Assistance Program.
You will have the opportunity to participate in an unlimited number of mock interview sessions with industry experts. It will sharpen your mind, give you more clarity, and prepare you for interviews. You can start giving the Mock Interviews after completing the Core Topics from the course.
We will give you dedicated placement assistance from our team to land you on your dream job. When others are charging more than 2 Lakhs, here in CloudyML you have to pay Rs.50,000 after getting a job with the help of our team.
After completing the course, if you get job by your own then you do not have to pay us anything.
Minimum we can guarantee 6LPA for freshers. For experienced people we can provide minimum 20% hike if they have 2 years of relevant experience ( or if they are able to show 2 years of experience). If you will get anything lesser then you do not have to pay us anything.
You will be signing a Pay-After-Placement Agreement with us after your course completion and we will start finding your dream jobs for you.
Registration Extended Till 7th July
+ 18% GST
I have transitioned my career from Manual Tester to Data Scientist by upskilling myself on my own from various online resources and doing lots of Hands-on practice. For internal switch I sent around 150 mails to different project managers, interviewed in 20 and got selected in 10 projects.When it came to changing company I put papers with NO offers in hand. And in the notice period I struggled to get a job. First 2 months were very difficult but in the last month things started changing miraculously.I attended 40+ interviews in span of 3 months with the help of Naukri and LinkedIn profile Optimizations and got offer by 8 companies.
Based on my career transition and industrial experience, I have designed this course so anyone from any background can learn Data Science and become Job-Ready at affordable price.
Data Scientist @IBM | ex-TCS
Data Engineer @ ADI || MTech (CSE) @ IIT Bhubaneswar || Ex-Research Intern @IIT KGP
Data Scientist @ Karza Technologies
Data Scientist @ Paypal
Software Engineer (Machine Learning) @ Teradata
AI/ML Engineer
@ Deloitte
Fastest Career Growth
Attractive Compensation
Increasing Demand
Versatility Across Industries
Impact Businesses Directly
Suitable even for Non-Tech People
Success Stories
Total Learners
Social Media Followers
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⦿ We provide complete hands-on practical learning experience to our learners which we are doing through our structured tutorial videos and most importantly Assignment & Projects Driven Courses that you will not get anywhere.
⦿ Our vision is to provide courses are Most Affordable Price so anyone from any background can learn from it. Nowhere you will get such valuable contents and features in a single course at such price.
⦿ We provide 1-1 Chat Support for Doubt Clearance daily so learners can study smoothly and fast. Other institutes provide support over Email or provide only online community based support which is not that much beneficial..
⦿ We keep tracking our learners progress and also connect with them over Call/Chat to guide them and help them to achieve their goals.
This course has been designed keeping beginners in mind. You will be able to learn as we start from basics. We have many learners doing this course who had no prior coding experience.
In fact, 50% of our learners are from non-coding background like mechanical, civil, commerce, arts, MBA, BCA, bio-tech, etc and they are getting jobs and other benefits after completing this course.
It is a 6 Months live program. Every Saturday & Sunday there will be 3 Hours live session. Also you will get recording of the course with 1 Year access of the content.
You will be learning from Live sessions and also get Hands-on assignments for practice. You can also revise your learning from the recording videos which will be available in your app and web portal. If you are stuck somewhere then you can reach to our mentors. They are available from 6P.M to 12PM Midnight everyday. Between 8PM to 9PM, the Teaching Assistants will be also available over Live Zoom Meeting for Doubt Clearance.
We will assign you Industry Experienced Data Analyst & Business Analyst from our team who will be taking your classes and also will resolve all of your doubts and queries.
There will be live Project in this program along with that other projects will be present in the form of guided assignments. Assignments have instructions and you have to write the code based on these instructions. In our Data Analytics case studies, you will be solving projects using Python, Tableau, PowerBi, SQL, Excel etc.
After completing the course, you can apply for the internship part from your course portal. There will be one basic interview to test your skills and also we will check your submitted assignments. If you will pass in this process then you can instantly start your remote internship with CloudyML or in our tie-up companies.
Yes. You will receive Placement Assistance as a part of the course. The course focuses on skill development of the learners so they can crack any Data Science Interview. But this course will make you ready for the market because of our Job Hunting Course. You will learn how to grow Linkedin, Naukri, Angel and how to find jobs from there. Also you will be able to answer all the HR Round Question, be it Career Gap, Salary Negotiation, etc.
It’s one time payment and you will get enrolled in the live course. Also you will get one year access to this course recording of the Live Sessions along with the assignments & projects.
We do not have refund policy. Please visit our page for more details
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