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Acquire industry-valued skills
Practice Based Learning
Get skilled in Today's most demanded skillset in the Industry and future proof your career by solving case studies under the guidance of industry experts.
Data Analytics Course with Placement
Data Analyst & Data Scientist are two of the most in-demand, high-paying jobs in the 21st century.
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Get trained by experts ask doubts in the live session.Evening classes on Fri, Sat & Sunday
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Having an issue? Ask doubts from your mentors any time during office hours.
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Ask for Personal mentorship in case you need guidance at any time during your program.
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Solve practical problems in Practice sessions under the guidance of your mentors.
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Facing a live interview needs a lot of practice. unlimited mock interviews on the Digikull tech platform.
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college-like placements with Digikull recruitment partners.Help with soft skills, resume preparation & lot more until you get placed.
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Pause your course and restart a month later with the next batch!
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Eligibility Criteria
You should meet the following requirements to be eligible for this course.
Qualification
Graduation (Any Stream)
CIBIL Score
650+
Communication Skill
Basic English - speaking, reading and writing
Internet
A desktop or laptop with an uninterrupted service connection.
Course Curriculum
Syllabus for our Data Analytics & Data Science course.
24 Weeks
- Variable, Expressions, And Statement
- Functions, Iterations, Strings
- Conditionals And Loops
- Lists, Dictionaries, Tuples
- File Handling And Operations
- OOPS
- Data Visualization
- Data Manipulation With NUMPY
- Data Analysis With PANDAS
- Lists, Dictionaries, Tuples
- Matplotlib & Seaborn
- Speed Up File Loading
- Reduce Memory Usage
- SpeedUp Column Operations
- Optimise Data Filtering
- Introduction to MYSQL
- MYSQL Installation
- Getting Started with SQL and Queries
- Queries with Constraints
- DDL Statements, DDL Statements
- Joins in SQL
- Queries with Aggregates
- Analytical Function
- Database Design
- MYSQL Procedural Extension
- Transaction Control
- Query Performance
- Introduction to Power BI
- Data Cleaning in Power Query Editor
- Menu Tab in Power Query Editor
- Advance Function in Power Query Editor
- Introduction to Power BI Desktop
- Power BI Desktop Menu Tab
- Measures in Power BI
- Insert Menu
- Data Visualization
- Charts, Maps, Tables and Its Types
- Introduction to DAX Function
- DAX and Measures
- Basics of M Language and Bookmark
- Create a Dashboard
- Create Filters on the Dashboard
- Dashboard Objects
- Create a Stroy
- Functions, Advanced & Filters Sort
- Pivot Table, Power Pivot, Logical Function
- Mathematical Function In Excel
- LOOKUP and Reference Function
- Statistical Function
- Getting Started with MACRO
- Sheets, Functions, Range Function, Public/Private Lubs
- Raws, Column Range, Errors, Arrays
- Loops, Practical, Various Types of Selection Delete and Other Options
+20 Weeks
- Basis of Statistics
- Types of Data, Introduction of Data Gathering, Describing Data
- Making Conclusion,Prediction, Parameters
- Sample and Sample Tpye
- Measurement Level
- Frequency Table
- Tendency and Distribution of Table
- Mode, Median Mean , Variance, Standard Deviation
- .Covariance Correlation
- Range, Quartile and Percentile
- Statistics Inference & Distribution
- Distribution and its Types
- Distribution & Estimation
- Proportion Estimation
- Mean Estimation
- Confidence Intervals
- A/B Testing
- Null and Alternative Hypothesis
- Type 1 & Type 2 Error
- Statistical Test (Student's T-Test, F-Test, Z-Test )
- Chi-Square Test, Annova Test, Binomial Test & Sample Median Test
- Testing Proportion and Testing Mean
- Introduction to Machine learning
- Data Science life cycle & Data Cleaning
- Feature Engineering & Linear Regression
- linear Regression in OLS Method
- Logistic Method
- Decision Tree & Random Forest
- Boosting Alogo (ADABOOST & XB BOOST )
- Support Vector Machine (SVM)
- Naive Bayes, KNN, K Means
- Hierarchical Clustering
- Scikit Learn
- Tensorflow
- Data Analysis With PANDAS
- Lists, Dictionaries, Tuples
- Matplotlib & Seaborn
- Introduction to Neural Networks
- Introduction to Activation functions
- Sigmoid and Tanh Activation Functions
- Relu, and Leaky Relu, Activation Functions
- When to use Sigmoid and Softmax
- Introduction to Gradient Descent
- Batch vs Stochastic Gradient Descent
- Introduction to Optimizers
- Dropout and why do we need it
- Hyper parameter Tuning in Neural Networks
- Introduction to Batch Normalization
- Introduction to Tensorflow 2.0 Part 1
- Implementing a basic neural network
- Improving a Neural network
- Convolution Operation in CNN
- Padding and Pooling
- Data Augmentation
- Understanding CNN end to end
- Implementing Data Processing on Image Data
- Implementing CNN using Tensorflow
- Introduction to CNN Architectures
- Introduction to Transfer Learning
- Implementing ResNet and Inception Network
- Industry relevance
- Introduction to RNN
- Implementing RNN using Tensorflow
- Vanishing and Exploding Gradients
- Introduction to LSTMs
- Implementing GRU and LSTM using Tensorflow
- Introduction to Bidirectional Networks
- Implementing BIGRU and BILSTM
- Industry relevance of RNNs
- Derive insights from the data, create report
- Intro into Google Colab
- Key Prompt Engineering Principles for Mastering ChatGPT
- Data Preparation Techniques for Improved Decision-Making
- Use ChatGPT to Prepare Data
- Mastering Categorical Data Encoding with ChatGPT for Data Analytics
- Descriptive Data Analysis for Deriving Business Insights
- Iterative Feature Engineering with ChatGPT and Python
- Feature Creation using ChatGPT: Decoding data
- ChatGPT as a Co-Pilot in Exploratory Data Analysis and Simplifying Insights
- Streamlining Qualitative Data Analysis using ChatGPT: Text Categorization
- Using ChatGPT for Text Classification: A Deep Dive into Sentiment Analysis
- Creating Data Analysis Reports and Communicating
Top Startups & MNCs Hire
OVER 400+ HIRING PARTNERS
Pricing Plan
Invest In Your Future
Course Certification
The Digikull Python Data analytics course valued among the corporates, to maintain the quality of our graduates. Digikull Python Data analytics course certification is highly valued by the companies because of its industry relevance. The students go through four months of extensive training and two months of real product development before obtaining the certification.Python Data analytics course certification certification is only provided to the students
Complete all assignments.
Work on real product.
Clear the final day test by the Digikull.
DigiKull‘s Proud Moments: Featured in the Spotlight!
Celebrate DigiKull‘s achievements as it shines in the spotlight, garnering recognition for its outstanding accomplishments.
Frequently Asked Questions
Got a Question ? We are here to Answer!!
What are the eligibility criteria to apply for Digikull's programs?
At Digikull, we believe in providing equal opportunities for everyone to embark on a successful career in web development. Our programs are open to individuals from diverse backgrounds. To be eligible for the program, you should be either in the final year of your graduation/diploma or have already completed your graduation/diploma. Additionally, you need to score 50% or above in our admission test to qualify for enrollment. We encourage passionate individuals who are ready to invest their efforts in building a brighter future to apply for our program.
What is the duration of the program?
The duration of our program typically ranges from 5 to 7 months, depending on the specific program you choose to pursue. You can visit our courses page to get exact duration of course.
Does Digikull provide interview preparation support?
Absolutely! At Digikull, we offer comprehensive interview preparation assistance. Our dedicated placement team will guide you in crafting a compelling resume, optimizing your LinkedIn profile, and conducting unlimited mock interviews to help you ace your job interviews.
What is the Pay After Placement model?
The Pay After Placement model at Digikull is straightforward. You only need to make a seriousness fee payment to start the course. The remaining amount is paid only once you secure a job with a minimum promised CTC. You pay the course fee from your salary once you start receiving it.
How does the ISA (Income Share Agreement) work at Digikull?
Under our ISA, once you secure a placement, you have the option to pay your tuition fee in either one or two years. The fee structure is as follows- For 5-month programs: Total fee of Rs 1,40,000, payable in 2-year EMIs after placement.- For 7- month programs: Total fee of Rs 1,80,000, payable in 2-year EMIs after placement.The ISA is a legally binding contract that outlines the rules, regulations, terms, and conditions related to your training, placement, and income sharing. It ensures transparency and accountability for all parties involved in the agreement.
Can I enroll in Digikull's courses without any coding experience?
Absolutely! Our courses are specifically designed to accommodate learners with no prior coding experience. By attending all the classes and following our carefully crafted curriculum, you'll be guided step-by-step to master the art of coding.
When does the placement process begin and what is the procedure?
The placement process at Digikull commences after 5 months of your enrollment in the course. Once you have acquired the necessary skills and completed prior modules, you can start applying to companies that align with your eligibility and skillset
Am I required to accept a job offer provided by Digikull?
We value your preferences and seek your interest before referring you to a particular company. However, once you accept an interview or receive an offer through our platform, rejecting further interviews or declining the offer violates the trust we have placed in you. In such cases, the ISA (Income Share Agreement) will be initiated based on the offer received.
Why you need to pay a seriousness fee?
The seriousness fee is charged to ensure students maintain a dedicated commitment to the course and actively participate in completing all requirements on time. It encourages a focused and determined approach, promoting successful completion of the program.
What happens to the ISA if I drop out before completing the course?
We prioritize your success and aim to see all our students complete the course. In case you need to drop out due to unforeseen circumstances, we have a drop-out policy outlined in the ISA. Within the first month of the course, you can comfortably exit, and the ISA becomes null and void with no additional fee required. After the initial month, a drop-out fee depending on the timing of your drop-out.
Digikull education is inspired by our ancient education system called Gurukul. Unlike our current education system where the quality education is only accessible to only those who all well off financially, the gurukul education system was open to everyone where the student could join even the best of education institute in the world without paying any upfront fee. We also allow the student to join the Digikull education by paying a very small upfront fee and the rest of the fee is paid in the form of GURU DAKSHINA after getting the job.
info@digikull.com
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