Learn Deep Learning Online
Anyone can start Learn Deep Learning Online course understanding linear algebra, calculus, & statistics. We provide a 30-hour Deep Learning course taught by instructors with more than 10 years of real-time experience. The course includes real-world assignments and the faculty will direct you toward setting a work environment to practice assignments.
Assistance in CV preparation, interview questions answers, and materials are part of the training program. We do advise taking a one-hour session every day, From Monday through Friday, but one can also look into the weekend, fast-track, one-on-one, or customized programs.
- Real-time Project
- 100% Practical
- CV & Interview Help
- Placement Assistance
Deep Learning Career
✔️Deep Learning Pre-requisites
Understanding linear algebra, calculus, & statistics.
✔️Jobs On Deep Learning
Top IT MNC such as Capgemini, Cognizant, IBM, Infosys, Accenture, etc.,
✔️Deep Learning Salary
The average salary for a Deep Learning Engineers with 4 years experience in India is ₹12 lakhs.
✍️ Detailed Course Curriculum
Our Technical expert will help you with real time issues. He also guide you in certification preparation and career mentoring if required.
Deep Learning Course FAQ's
01. can you help me in CV preparation?
Yes, We can help you preparing your resume.
02. will you help in interview preparation?
We can provide you interview question answers. The course covered many real-time examples. These examples might help you.
03. Is this course sufficient to get a job?
Our training covered as many real-time examples as we can. This course may equivalent to 2 to 3 years of work experience. You have to work hard if you are aimed at 4+ years of experience.
04. What’s the certification process?
Please come with an exam code. We’ll guide you further. We’ll guide you on how to get certified. Don’t worry, we’ll help you in certification process.
05. Can you provide Work Support?
We can provide job support for an additional fee. Contact the support team for fee details. You can choose either the hourly rate or monthly fee.
📒Deep Learning Course Outline
Introduction to Data Analysis
- Business Analytics, Data, Information
- Understanding Business Analytics and R
- Compare R with other software in analytics
- Install R
- Perform basic operations in R using command line
- Learn the use of IDE R Studio
- Use the ‘R help’ feature in R
Introduction to R Programming
- Variables in R
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Using c, Cbind, Rbind, attach and detach functions in R
- Factors
Data Manipulation in R
- Data sorting
- Find and remove duplicates record
- Cleaning data
- Recoding data
- Merging data
- Slicing of Data
- Merging Data
- Apply functions
- Business Analytics, Data, Information
- Understanding Business Analytics and R
- Compare R with other software in analytics
- Install R
- Perform basic operations in R using command line
- Learn the use of IDE R Studio
- Use the ‘R help’ feature in R
Data Import Techniques
- Reading Data
- Writing Data
- Basic SQL queries in R
- Web Scraping
Exploratory Data Analysis
- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing Graphs
Basics of Statistics & Linear & Logistic Regression
- Basics of Statistics
- Inferencial statistics
- Probability
- Hypothesis
- Standard deviation
- Outliers
- Correlation
- Linear & Logistic Regression
Data Mining: Clustering techniques, Regression &Classification
- Introduction to Data Mining
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms
- K- means clustering
Anova & Sentiment Analysis
- Anova
- Sentiment Analysis
Data Mining: Decision Trees and Random Forest
- Decision Tree
- Concepts of Random Forest
- Working of Random Forest
- Features of Random Forest
Project Work
- 2 Real time Projects
