Python is a language that has shown great career paths in the field of Data Analytics, Data Science, Data Engineer, Software Engineer roles. Learn Python by doing practical projects with our experts.
Trainers from IIT, NIT, IIM, IMT
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Trainers and mentors are experts from top organizations with working experience on data science projects
Talk to our experts and know if your profile is suitable for career in Data Science & AI
Python is a language that plays vital role in data analytics for a business. Python helps generating powerful analytics, & predictions for a business. Learn Python for data analytics directly from an expert to learn complex problems solving techniques.
Python is a language that plays vital role in data analytics for a business. Python helps generating powerful analytics, & predictions for a business. Learn Python for data analytics directly from an expert to learn complex problems solving techniques.
Guaranteed success with real-time project. Get industry recognized certificate on completion of the course.
Importance of Data Science | Different types of data | Qualitative and Quantitative Data | Scope of Data Science | Data Science vs Machine Learning Vs Deep Learning Vs Artificial Intelligence | History of Data Science | Why Statistics | Why programming language for Data Science | How technology is helping industries and different domains
Descriptive Analytics | Diagnostic Analytics | Predictive Analytics | Prescriptive Analytics | Benefits of Data Analytics
What is Python | History of Python | Why Python | Characteristics & Features of Python | Installation of Python | Anaconda Setup | Jupyter Notebook | PyCharm | How Python Program runs on System | Memory Management in Python
15 mins read to complete
What is Python | History of Python | Why Python | Characteristics & Features of Python | Installation of Python | Anaconda Setup | Jupyter Notebook | PyCharm | How Python Program runs on System | Memory Management in Python
Identifiers | Reserved Words | Lines & Indentation | Multi-line statements | Comments in Python | Variables & Types of Variables in Python | Literals | Constants | Expressions | Statements
Numeric Data Types & their features | String Data Type & its features | List Data Type & its features | Tuple Data Type & its features | Dictionary Data Type & its features | Other Immutable Data Types | Difference between Mutable & Immutable Data Types
Tick | Getting current time | Getting formatted Time | Getting calendar for a month | Time Module | Calendar Module | Other time related modules & functions
Arithmetic Operators | Comparison (Relational) Operators | Assignment Operators | Logical Operators | Bitwise Operators | Membership Operators | Identity Operators | Python Operators Precedence
If statement | If-else statement | While loop | For loop | Nested Loop | Break Statement | Continue | Continue Statement | Pass Statements
Assessment Test
General function command in python | Lambda Function | Scope of Variables | Namespace Vs Scope | Return Statement | Function Arguments | Modules in Python | Import Statement
Open function | Different modes to read, write and append file | File Object Attributes | Close method | Write method | Read method | File positions | Rename file | Delete File
What is Exception | Type of Errors | Handling an exception | Clauses to handle exception | Raising an exception | User-defined Exceptions | Nested try-except block & Default except block
Match Function | Search Functions | RegEx Modifiers | RegEx Patterns | Examples to search and validate using RegEx
Overview of OOP Terminology | Creating Classes | Creating Instance | Built-in Class Attribute | Destroying Garbage | Class Inheritence | Overriding Methods | Overloading Methods
1 Project on Python
What is web scraping | Web crawling vs. web scraping | Use of web scraping | Components of web scraping | Python modules for web scraping | Research Required Prior to Scraping | Extraction of Data from Web Page using Beautiful Soup
Practice on Web Scrapping
NumPy: Data Operations using NumPy | n-dimensional arrays | indexing & slicing | arithmetic operations | statistical functions | mathematical function
Pandas: Data Operations using Pandas | Pandas Series & Dataframe | Functionalities in Pandas | Descriptive Statistics using Pandas | Reindexing | Iteration | Sorting | Options & Customization | Indexing & Selecting data | Statistical functions | Aggregation | Missing Data | GroupBy | Merging/Joining
Matplotlib: Create visualization using Matplotlib | Graph plot customization using Matplotlib | Figure function | Axes Functions | Multiplots | Subplots | Grid Function | Formatting Axes | Twin Axes | Bar Plot | Histogram | Pie Chart | Scatter Plot | Box Plot | Violin Plot
Seaborn: Create visualization using Seaborn | Figure Aesthetics | Histogram | KDE Plot | Pairplot | Stripplot | Swarmplot | Box and Whisker plot | Violin plot | Bar plot | Point plot | Factor plot | Count plot | Boxplot
1 Real-time Project – EDA (Exploratory Data Analysis): Using Numpy, Pandas, Matplotlib, Seaborn etc. | Data Cleansing | Data Wrangling | Data Visualization
Expert Guidance
Meet your mentors from the industry who assure your learning to be totally practical & experential
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Pedagogically, Both courses are advance level upto the level of Machine Learning curriculum. Advance Data Science, Machine Learning & AI course has advance machine learning & artificial intelligence (computer vision) that is not required for students with less than 1 year experience.
Advance Data Science, Machine Learning & AI course is curated for professionals, so the course includes real-time work experience certified by AI companies. Data Science & AI course on the other hand helps students with practical exposure with internship experience.
Data Science is the bigger umbrella under which various roles contribute. Roles like Data Analytics, Business Analytics, Machine Learning Specialist, NLP Engineer, AI Specialist, Data Scientist etc.
All the roles in Data Science deal with same tools but different level of expertise on the tools and concepts.
Due to the application of data science in almost all the industry, it is the most growing field today. The hiring managers are expecting skills from the candidates more than theory knowledge due to which most companies are struggling to close the demand-supply gap. Hence, people with decent exposure to data analytics techniques and project knowledge are recruited immediately.
We focus on practical work based training in our Data Science & AI course to bridge the gap between what recruiters are expecting and your skills.
The Data Science & AI program is an ideal program for a Fresher, students or anyone with less than 2 years of experience. Data Science & AI program is best suited for professionals with less than 2 years of experience and looking to enter into the Data Science or Data Analytics field
Data Science needs technical knowledge on programming language but it is not a field of Software Developer. Python & R programming languages are especially build for data science professionals.
A strong programming skills in Python will definitely help you excel in you job role. We at 1stepGrow provide training for Python by Machine Learning Engineers, Data Scientists, Data Science Automation Engineer who assist you in all manners to learn essential libraries, statistical programming assuming you do not have any exposure towards programming.
Python is the only language that can be used for statistical analysis, machine learning model building, descriptive & predictive analytics, computer vision and deployment of the model. Other statistical tools does not support all activities of data science due to which python programming language is the most used language in data science jobs today. Almost all jobs have a requirement of experience and exposure with Python programming language. Demand of R programming has decreased significantly and usage of other statistical tools are also decreasing rapidly.
Python & R programming are the most used language in the industry with around 75% market share. To keep our students competitive we provide an opportunity to learn R programming too on a minimal fees of Rs. 5999/-. Python programming is very similar to R programming language and has grown popularity in the usage more than any other programming language.
To keep the class interactive and beneficial for our students we conduct all our sessions live with instructors. The instructors are market experts from the industry. Our trainers and the students join the live session at the same time on online medium. These sessions provide an opportunity to interact with trainer and resolve doubts on the go within the classes.
Salaries for Data Science & AI are based on multiple factors like years of experience, domain experience and understanding data from the industry, location of job, & various other factors. However, there is a general thumb rule for the salary. A fresher can start a job with 4 LPA in the domain of data science with project experience. For working professionals salary can be calculated as No. of years of Experience * 3 LPA (INR)
Most of the work expected after a masters or PhD in data Science is of Research. Getting a degree without experience is not helpful in the data science research career. However, to start a data science career you will require skills on data science tools, statistics, ML & AI concepts and domain knowledge. Project experience will help you convert into a job.
Once you enter data science career, you can enter into data science research work with Masters and PhD. This path is mostly advisable for academicians and not for working professionals. Also, if you are opting for research work, our advise is to go for masters degree or PhD in data science with a couple years of experience in data science.
We conduct 100% live sessions. Live sessions with instructor makes the session more interesting and useful when you practice each concept with the trainer and ask and resolve your doubts on the go. These sessions are recorded and provided on the LMS for our students future reference.
For any reason if you miss the live data science session. Every session is recorded and access to the video is provided in 1stepGrow’s Learning Management System (LMS). You can watch the recorded Data Science sessions at your own pace and convenience. This is also useful if you want to repeat any session for self revision on any topic.
1stepGrow offers an opportunity of multiple batch access to the students. Although it is advisable to complete your entire training in one batch that helps you to be consistent and enhance your learning. However, if you happen to miss a module due to work or other reasons or you want to revise a module, you can opt to join another batch where you can attend the live sessions again. The access to live session is applicable for 2 years on this course.
Yes, after successfully completing the course, you will be awarded a course completion certificate from 1stepGrow. You will also go through a test, on completion of which you can be awarded an IBM Certificate in Data Science & AI
Yes, internship experience & certificate will help you gain an edge over your peers in getting hired by an AI company or an Analytics based company.
The companies are more interested in the practical knowledge of the students. Also, you will get a recommendation letter from the company on successful completion of your internship.
You can send us an email at [email protected] with your query.
You can also call us or drop a WhatsApp message on +91-8951-240-606.
Or you can book a free 1×1 counseling session. Our experts will assist you with all your queries.
The different payment methods accepted by us are:
Pedagogically, Both courses are advance level upto the level of Machine Learning curriculum. Advance Data Science, Machine Learning & AI course has advance machine learning & artificial intelligence (computer vision) that is not required for students with less than 1 year experience.
Advance Data Science, Machine Learning & AI course is curated for professionals, so the course includes real-time work experience certified by AI companies. Data Science & AI course on the other hand helps students with practical exposure with internship experience.
Data Science is the bigger umbrella under which various roles contribute. Roles like Data Analytics, Business Analytics, Machine Learning Specialist, NLP Engineer, AI Specialist, Data Scientist etc.
All the roles in Data Science deal with same tools but different level of expertise on the tools and concepts.
Due to the application of data science in almost all the industry, it is the most growing field today. The hiring managers are expecting skills from the candidates more than theory knowledge due to which most companies are struggling to close the demand-supply gap. Hence, people with decent exposure to data analytics techniques and project knowledge are recruited immediately.
We focus on practical work based training in our Data Science & AI course to bridge the gap between what recruiters are expecting and your skills.
The Data Science & AI program is an ideal program for a Fresher, students or anyone with less than 2 years of experience. Data Science & AI program is best suited for professionals with less than 2 years of experience and looking to enter into the Data Science or Data Analytics field
Data Science needs technical knowledge on programming language but it is not a field of Software Developer. Python & R programming languages are especially build for data science professionals.
A strong programming skills in Python will definitely help you excel in you job role. We at 1stepGrow provide training for Python by Machine Learning Engineers, Data Scientists, Data Science Automation Engineer who assist you in all manners to learn essential libraries, statistical programming assuming you do not have any exposure towards programming.
Python is the only language that can be used for statistical analysis, machine learning model building, descriptive & predictive analytics, computer vision and deployment of the model. Other statistical tools does not support all activities of data science due to which python programming language is the most used language in data science jobs today. Almost all jobs have a requirement of experience and exposure with Python programming language. Demand of R programming has decreased significantly and usage of other statistical tools are also decreasing rapidly.
Python & R programming are the most used language in the industry with around 75% market share. To keep our students competitive we provide an opportunity to learn R programming too on a minimal fees of Rs. 5999/-. Python programming is very similar to R programming language and has grown popularity in the usage more than any other programming language.
To keep the class interactive and beneficial for our students we conduct all our sessions live with instructors. The instructors are market experts from the industry. Our trainers and the students join the live session at the same time on online medium. These sessions provide an opportunity to interact with trainer and resolve doubts on the go within the classes.
Salaries for Data Science & AI are based on multiple factors like years of experience, domain experience and understanding data from the industry, location of job, & various other factors. However, there is a general thumb rule for the salary. A fresher can start a job with 4 LPA in the domain of data science with project experience. For working professionals salary can be calculated as No. of years of Experience * 3 LPA (INR)
Most of the work expected after a masters or PhD in data Science is of Research. Getting a degree without experience is not helpful in the data science research career. However, to start a data science career you will require skills on data science tools, statistics, ML & AI concepts and domain knowledge. Project experience will help you convert into a job.
Once you enter data science career, you can enter into data science research work with Masters and PhD. This path is mostly advisable for academicians and not for working professionals. Also, if you are opting for research work, our advise is to go for masters degree or PhD in data science with a couple years of experience in data science.
We conduct 100% live sessions. Live sessions with instructor makes the session more interesting and useful when you practice each concept with the trainer and ask and resolve your doubts on the go. These sessions are recorded and provided on the LMS for our students future reference.
For any reason if you miss the live data science session. Every session is recorded and access to the video is provided in 1stepGrow’s Learning Management System (LMS). You can watch the recorded Data Science sessions at your own pace and convenience. This is also useful if you want to repeat any session for self revision on any topic.
1stepGrow offers an opportunity of multiple batch access to the students. Although it is advisable to complete your entire training in one batch that helps you to be consistent and enhance your learning. However, if you happen to miss a module due to work or other reasons or you want to revise a module, you can opt to join another batch where you can attend the live sessions again. The access to live session is applicable for 2 years on this course.
Yes, after successfully completing the course, you will be awarded a course completion certificate from 1stepGrow. You will also go through a test, on completion of which you can be awarded an IBM Certificate in Data Science & AI
Yes, internship experience & certificate will help you gain an edge over your peers in getting hired by an AI company or an Analytics based company.
The companies are more interested in the practical knowledge of the students. Also, you will get a recommendation letter from the company on successful completion of your internship.
You can send us an email at [email protected] with your query.
You can also call us or drop a WhatsApp message on +91-8951-240-606.
Or you can book a free 1×1 counseling session. Our experts will assist you with all your queries.
The different payment methods accepted by us are:
Bangalore, Hyderabad, Chennai, Mumbai, Pune, Navi Mumbai, Ghaziabad, Nagpur, Ahmedabad, Bhopal, Bhubaneshwar, Coimbatore, Chandigarh, Delhi, Noida, Gurugram, Indore, Kochi, Kanpur, Ludhiana, Patna, Mysore, Jaipur, Surat, India, USA, Trivandrum, Kalyan, Powai, Mulund, Goregaon, Trichy, Thane, Patna, Assam, Guwahati, Marthahalli, HSR, Electronic City, Whitefield
We provide online certification in Data Science and AI, Digital Marketing, Data Analytics with a job guarantee program. For more information, contact us today!
Courses
1stepGrow
Anaconda | Jupyter Notebook | Git & GitHub (Version Control Systems) | Python Programming Language | R Programming Langauage | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | Deep Learning | Neural Networks | Computer Vision | Reinforcement Learning | ANN | CNN | RNN | LSTM | Facebook Prophet | SQL | MongoDB | Advance Excel for Data Science | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Science Capstone Projects | ML Capstone Projects | AI Capstone Projects | Domain Training | Business Analytics
WordPress | Elementor | On-Page SEO | Off-Page SEO | Technical SEO | Content SEO | SEM | PPC | Social Media Marketing | Email Marketing | Inbound Marketing | Web Analytics | Facebook Marketing | Mobile App Marketing | Content Marketing | YouTube Marketing | Google My Business (GMB) | CRM | Affiliate Marketing | Influencer Marketing | WordPress Website Development | AI in Digital Marketing | Portfolio Creation for Digital Marketing profile | Digital Marketing Capstone Projects
Jupyter Notebook | Git & GitHub | Python | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | SQL | MongoDB | Advance Excel for Data Science | Alteryx | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Analytics Capstone Projects
Anjanapura | Arekere | Basavanagudi | Basaveshwara Nagar | Begur | Bellandur | Bommanahalli | Bommasandra | BTM Layout | CV Raman Nagar | Electronic City | Girinagar | Gottigere | Hebbal | Hoodi | HSR Layout | Hulimavu | Indira Nagar | Jalahalli | Jayanagar | J. P. Nagar | Kamakshipalya | Kalyan Nagar | Kammanahalli | Kengeri | Koramangala | Kothnur | Krishnarajapuram | Kumaraswamy Layout | Lingarajapuram | Mahadevapura | Mahalakshmi Layout | Malleshwaram | Marathahalli | Mathikere | Nagarbhavi | Nandini Layout | Nayandahalli | Padmanabhanagar | Peenya | Pete Area | Rajaji Nagar | Rajarajeshwari Nagar | Ramamurthy Nagar | R. T. Nagar | Sadashivanagar | Seshadripuram | Shivajinagar | Ulsoor | Uttarahalli | Varthur | Vasanth Nagar | Vidyaranyapura | Vijayanagar | White Field | Yelahanka | Yeshwanthpur
Mumbai | Pune | Nagpur | Delhi | Gurugram | Chennai | Hyderabad | Coimbatore | Bhubaneswar | Kolkata | Indore | Jaipur and More
