INDIA'S NO.1 PREMIUM BEST PRACTICAL DATA SCIENCE WITH PYTHON TRAINING COURSE IN PUNE
We Are The Best and Top Rated Data Science Courses in Pune Which Provide 100% Job Placement Assistance to Job Seekers, Professionals, at Affordable Fees.
60+ Hours | 24+ Live Projects | Certificates | Rated 4.9 / 5
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About SIM - Data Science Courses In Pune
School Of Internet Marketing is India's 1st Practical Data Science Training Institute In Pune. Our Moto is #SayNoToTheory we have been greatly centered and is been establishing each day to the new standards in Data Science in from 5 years. We are an awesome institute on providing practical Data Science training to our students. Our goal is to grow every day with new ideas in this area by means of exploring the core of Data Science. It is going to be our effort and we make sure that we provide the best coaching in order that it helps an individual as well our Institute.
We At SIM offers Data Science Courses in Pune in more than 2+ branches with expert trainers. Here are the key features.
Data Science Course provides coverage for topics like PART A – Python for Data Science, PART B – R programming for Data Science, PART C – Statistics, PART D – Machine Learning and AI Using R & Python, PART E – PowerBi For Data Analytics Visualization, PART F – Projects & Assignments.
Even if this is your first time practicing a code, don't worry! Our professional Data Science trainers and counselors are there to support you. We will provide you with advice and support that will help you at interviews. that suit your career plan.
Placement and Job Offers
We are frequently contacted by various corporations regarding the availability and technical expertise of graduates. After you complete your data science | Analytics course, we will provide you with an opportunity to meet the concerned representatives of the companies.
Resume Advice / Mock Interview,
Our Career Production Team will support you in following your career plan. In addition to providing advice, we also help you prepare for prospective jobs by screening your resume and conducting mock interviews.
Why We Are Best In Data Science Training Institute In Pune?
We provides the most exclusive and the best Data Science course in Pune with 100% placement assistance, Top Data Scientists and industry experts working in the data science companies of Pune for several decades have developed this course, and the course curriculum is at par with the international industry standards. The program duration is 3 months, balancing practical and theoretical learning, covering everything from the fundamentals to advanced levels of the Data Science course in Pune with placement across India. Enroll today in the leading Data Science course Pune with placement. The course empowers the student to join the IT industry and have a successful and promising career in Data science training in Pune
Career & Placement Support after Data Science Course Completion
We are invested in you, and one of our top priorities is to ensure that you have a firm understanding of how the Data Science | Data Analytics Industry works. Our Career Counsellors dedicate their time to making sure you feel confident and ready to tackle all potential interviews!
What Do You learn In Data Science Course?
As a leading and best Data Science training institute we have designed our Data Science Course content & syllabus based on Student requirements, which will help you to achieve your career goal. Our Data Science & Data Analytics Course Certification Course is designed to get placements in Good MNC Companies in Pune, Bangalore, Mumbai, and Delhi as soon as you completed the “Data Science Training in pune” at School of Internet Marketing. Our trainers are 9+ years of working professionals who provide you with hands-on Real-Time multiple Data Science Projects knowledge. We assure you to provide the actual knowledge of Data Science Courses in Pune that makes your career bright. By utilizing the platform of Data Science & Data Analytics Course.
The Advanced Practical Oriented Data Science Training Concepts.
The only Data Science training program where you get in-depth knowledge of all the modules of the Data Science courses in pune.
1. Introduction to Data Science
- What is Data Science?
- What does Data Science involve?
- Life cycle of Data Science
- Tools of Data Science
- Need of Data Science
- Data Engineer vs Data Analyst vs Data Science
- Data Science and machine learning
- Data Science Life Cycle
- Data Science Platform
- Data Science Use Cases
- Skill Required for Data Science
Introduction to python | What is Python | History of Python | Use case of Python | Python Identifiers, Keywords Python Indentation Comments and document interlude in Python | Command line arguments | Getting User Input | Setup for python & anaconda | Jupyter Introduction | Jypyter Functions | Basic operators and functions | Variables & Operator
- Data types
- Strings: Introduction | Operations | Functions | Exercises
- Numbers: Introduction | Operations | Functions | Exercises
- Lists: Introduction | Iterators | Operations | Functions | Exercises
- Dictionary: Introduction | Operations | Functions | Exercises
- Tuples: Introduction | Operations | Functions | Exercises
- None Type
- Boolean Type
Introduction Built-in Functions | User define functions | Return statement | Multi-return statement | Default function | Lambda, Filter, Map function | Scope of Variable | Global Keyword Accessing Values | Basic Operations | Indexing, Slicing
- Conditional & Loop Statements
if Statement | if-else Statement | if-elif Statement | while Loops | For Loops | Nested Loops | Continue and break
- File Handling
Read file | Write file | File operations | Appending data into file
- Classes & Objects
Attributes/State/Properties | Behavior | Constructor | Inheritance
- SQL Database connection using python
Introduction to SQL | Installing Interface | Creating the connection | Creating cursor object | Creating database | Creating Tables | Insert Operation | Read Operation | Update Operation | Delete Operation
3. Python for Data Science
- Modules: System Defined and User Ddefined | Packages | Library
- NumPy: Introduction | Python Arrays | Numpy Arrays | Single & Multi-Dimensional Arrays | Benefits of Arrays | Indexing, Slicing, Shaping | Operations with Array
- Pandas: Introduction | Series | Dataframe | File Handling | Data Importing | Data Analysis | Slicing, Indexing | Appending
- Matplotlib: Introduction | Applications | Line Plot | Sine Wave plot | Bar Graph | Scatter Plot | Histogram | Pie Chart
- Seaborn: Introduction | Seaborn vs Matplotlib | Histogram | Distplot | Strip Plot | Swarm Plot | Bar Plot | Count Plot | Box Plot | Violin Plot | Heatmap
- Scikit-Learn: Data Preprocessing | Data Cleaning | Data Integration | Data Transformation: Scaling and Encoding | Feature Engineering | Outlier Detection
- SciPy: Introduction | Matrices Operations | Create matrices Inverse, Transpose, Trace, Norms , Rank etc | Eigen Values & vectors | SVDs
4. Machine Learning
- Mathematics & Statistics
Logarithm | Standard Deviation & Mean Absolute Deviation | Normal Distribution | Mean, Median, Mode
Type of Data | Descriptive statistic-Central tendency and Variability | Distributions Correlations | Hypothesis testing – Confidence interval, Confidence level, P value Z score etc
- Introduction to Machine Learning
- Supervised Learning: Regression and Classification
- Unsupervised Learning: Clustering and Association
- Reinforcement Learning
Regression: Linear Regression | Multiple Regression | Logistic Regression | Polynomial Regression
Classification: Decision Tree | Radom Forest | SVM | KNN | Naïve Bayes
Model evaluation techniques: Concepts of confusion matrix | Classification Report | Errors in Regression | ROC | AUC
Clustering: K-means Clustering | Hierarchical Clustering
5. Artificial Intelligence | Deep Learning
AI Introduction | History of Artificial Intelligence
Artificial Neural Network: Elements of a Neural Network | What is an activation function and why to use them? | Forward Propagation | Back Propagation
Natural Language Processing: Introduction to NLP | Application of NLP | Understanding Natural Language Processing (NLP) | Tokenization | Streaming | Frequency Distribution | Frequency Graph | Dealing with Stopwords
6. Data Analytics | Visualization | Power BI
- Data Modelling
- Data Analysis Expression
- Power Query
- Create Reports
- Create Dashboard
7. Data Science Project Work
Project 1: Sentiment Analyzer of Social Media
Project 2: Identifying Good and Bad Customers for Granting Loans
Project 3: Credit Card Fraud Detection Project
Project 4: Stock Price Prediction
Project 5: Movie Recommendation System
Project 6: Evaluating the performance of mutual funds.
Enroll For Our New Upcoming Batches or Contact us Now to know Data Science Course Program Details.
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Meet Our Directors
Get to know the people behind Intact. Our creative and technical team.
Nitesh YadavFounder- School of Internet Marketing
A Digital Marketer with 7+ years of experience in Internet Marketing, Display Advertising, Media Planning, SEO, Social Media Marketing and Public Relation.
Sushant SalunkheCo Founder-School of Internet Marketing
He has been a digital marketing consultant for many advertising agencies & Political Campaign to develop & execute their digital strategies from 7+ years, He has a great command over understanding the root cause of the business problems.